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Publikationen



2020

  • Abbas, S., Fried, R.(2020). Robust control charts for the mean of a locally linear time series. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2020.1788562
  • Axt, I., Fried, R.(2020). On variance estimation under shifts in the mean. AstA Advances in Statistical Analysis. doi:10.1007/s10182-020-00366-5
  • Bücher, A., Lilienthal, J., Kinsvater, P., Fried, R. (2020). Penalized quasi-maximum-likelihood estimation for extreme value models with application to flood frequency analysis. Extremes. http://dx.doi.org/10.1007/s10687-020-00379-y
  • Dehling, H. Fried, R., Wendler, M.(2020). A robust method for shift detection in time series. Biometrika. doi:10.1093/biomet/asaa004
  • Dürre, A., Fried, R.(2020). Robust test for detecting changes in the autocovariance function of a time series. Austrian Journal of Statistics, 49 (4), 35-45. doi:10.17713/ajs.v49i4.1123
  • Kunig, V.B.K., Potowski, M., Akbarzadeh, M., Klika Škopić, M., dos Santos Smith, D., Arendt, L., Dormuth, I., Adihou, H., Andlovic, B., Karatas, H., Shaabani, S., Zarganes‐Tzitzikas, T., Neochoritis, C.G., Zhang, R., Groves, M., Guéret, S.M., Ottmann, C., Rahnenführer, J., Fried, R., Dömling, A., Brunschweiger, A.(2020). TEAD–YAP interaction inhibitors and MDM2 binders from DNA‐encoded indole‐focused ugi peptidomimetics. Angewandte Chemie (International Edition). doi:10.1002/anie.202006280
  • Pedeli, X., Fried, R. (2020). Intervention Analysis for INAR(1) models. Proceedings of the 35th International Workshop on Statistical Modelling.
  • Schmidt, S., Wornowizki, M., Fried, R., Dehling, H. (2020). An asymptotic test for constancy of the variance under short-range dependence. Discussion Paper / SFB 823 (Vol. 2020, 5). Dortmund. doi:10.17877/DE290R-20976

2019

  • Abbas, S., Fried, R., Heinrich, J., Horn, M., Jakubzik, M., Kohlenbach, J., Maurer, R., Michels, A., Müller, C.H. (2019). Detection of anomalous sequences in crack data of a bridge monitoring. In: Ickstadt, K., Trautmann, H., Szepannek, G., Bauer, N., Lübke, K., Vichi, M. (Eds.). Applications in Statistical Computing, 251-269. Springer. doi:10.1007/978-3-030-25147-5_16
  • Axt, I., Fried, R. (2019). On scale estimation under shifts in the mean. Discussion Paper / SFB 823 (Vol. 2019, 6). Dortmund. doi:10.17877/DE290R-19997
  • Fischer, S., Fried, R., Schumann, A.(2019). Hochwasserstatistik: Nahe am Wasser gebaut?. In: Krämer, W., Weihs, C. (Eds.). Faszination Statistik, . Springer Spektrum, Berlin Heidelberg. doi:10.1007/978-3-662-60562-2_18
  • Fried, R., Gather, U., Imhoff, M.(2019). Statistische Alarmsysteme in der Intensivmedizin. In: Krämer, W., Weihs, C. (Eds.). Faszination Statistik. Springer Spektrum, Berlin Heidelberg. doi:10.1007/978-3-662-60562-2_4
  • Rooch, A., Zelo, I., Fried, R. (2019). Estimation methods for the LRD parameter under a change in the mean. Statistical Papers, 60 (1), 313–347. doi:10.1007/s00362-016-0839-7

2018

  • Abbas, S., Fried, R., Heinrich, J., Horn, M., Jakubzik, M., Kohlenbach, J., Maurer, R., Michels, A., Müller, C. H. (2018). Detection of anomalous sequences in crack data of a bridge monitoring. Discussion Paper / SFB 823 (Vol. 2018, 29). Dortmund. doi:10.17877/DE290R-19808
  • Lilienthal, J., Fried, R., Schumann A. (2018). Homogeneity testing for skewed and cross-correlated data in regional flood frequency analysis. Journal of Hydrology, 556, 557-571. doi:10.1016/j.jhydrol.2017.10.056

2017

  • Abbas, S., Fried, R. (2017). Control charts for the mean based on robust two-sample tests. Journal of Statistical Computation and Simulation, 87 (1), 138-155. doi:10.1080/00949655.2016.1194839
  • Bücher, A., Kinsvater, P., Kojadinovic, I. (2017). Detecting breaks in the dependence of multivariate extreme-value distributions. Extremes, 20 (1), 53-89. doi:10.1007/s10687-016-0268-y
  • Dürre, A. , Fried, R., Vogel, D. (2017). The spatial sign covariance matrix and its application for robust correlation. Austrian Journal of Statistics, 46 (3-4), 13-22. doi:10.17713/ajs.v46i3-4.667
  • Fried, R., Abbas, S., Borowski, M., Imhoff, M. (2017). Online analysis of medical time series. Annual Review of Statistics and its Applications, 4, 169-188. doi:10.1146/annurev-statistics-060116-054148
  • Hainke, K., Szugat, S. Fried, R., Rahnenführer, J. (2017). Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV. BMC Bioinformatics, 18, 358. doi:10.1186/s12859-017-1762-1
  • Kinsvater, P., Deiters, F., Fried, R. (2017). Dealing with seasonal variability and inter-site dependence in regional flood frequency analysis. https://arxiv.org/abs/1701.06455
  • Kinsvater, P., Fried R. (2017). Condtional heavy-tail behavior with applications to precipitation and river flow extremes. Stochastic Environmental Research and Risk Assessment, 31 (5), 115-1169. doi:10.1007/s00477-016-1345-0
  • Liboschik, T., Fokianos, K., Fried, R. (2017). tscount: an R package for analysis of count time series following generalized linear models. Journal of Statistical Software, 82 (5). doi:10.18637/jss.v082.i05
  • Rekowski, J., Köllmann, C., Bornkamp, B., Ickstadt, K., Scherag, A. (2017). Phase II dose-response trials: A simulation study to compare analysis method performance under design considerations. Journal of Biopharmaceutical Statistics, 1-17. doi:10.1080/10543406.2017.1293078
  • Wornowizki, M., Fried, R., Meintanis, S. G. (2017). Fourier methods for analyzing piecewise constant volatilities. Advances in Statistical Analysis, 101 (3), 289-308. doi:10.1007/s10182-017-0288-1

2016

  • Abbas, S., Fried, R., Gather, U. (2016). Detection of local intensity changes in grayscale images with robust methods for time-series analysis. Solving Large Scale Learning Tasks: Challenges and Algorithms: Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, 251-271. doi:10.1007/978-3-319-41706-6_13
  • Dehling, H., Fried R., Wornowizki, M. (2016). An asymptotic test on the stationary of the variance. Discussion Paper / SFB 823 (Vol. 2016, 71). Dortmund. doi:10.17877/DE290R-17421
  • Dürre, A., Tyler, D. E., Vogel D. (2016). On the eigenvalues of the spatial sign covariance matrix in more than two dimensions. Statistics, Probability Letters, 111, 80-85. doi:10.1016/j.spl.2016.01.009
  • Dürre, A., Vogel, D. (2016). Asymptotics of two-stage spatial sign correlation. Journal of Multivariate Analysis, 144, 54-67. doi:10.1016/j.jmva.2015.10.011
  • Elsaied, H., Fried R. (2016). Tukey's M-estimator of the Poisson parameter with a special focus on small means. Statistical Methods, Applications, 25 (2), 191-209. doi:10.1007/s10260-015-0295-x
  • Fischer, S., Fried, R., Wendler, M. (2016). Multivariate generalized linear-statistics of short range dependent data. Electronic Journal of Statistics, 10 (1), 646-682. doi:10.1214/16-EJS1124
  • Kinsvater, P., Fried, R., Lilienthal, J. (2016). Regional extreme value index estimation and a test of tail homogeneity. Environmetrics, 27 (2), 103-115. doi:10.1002/env.2376
  • Köllmann, C., Ickstadt, K., Fried, R. (2016). Beyond unimodal regression: modelling multimodality with piecewise unimodal regression or deconvolution models. https://arxiv.org/abs/1606.01666
  • Liboschik, T., Kerschke, P., Fokianos, K., Fried, R. (2016). Modelling interventions in INGARCH processes. International Journal of Computer Mathematics, 93 (4), 640-657. doi:10.1080/00207160.2014.949250
  • Lilienthal, J., Kinsvater, P., Fried, R. (2016). On the method of probability weighted moments in regional frequency analysis. Discussion Paper / SFB 823, (Vol. 2016, 63). Dortmund. doi:10.17877/DE290R-17354
  • Munteanu, A., Wornowizki, M. (2016). Correcting statistical models via empirical distribution functions. Computational Statistics, 31 (2), 465-495. doi:10.1007/s00180-015-0607-5
  • Thieler, A. M., Fried, R., Rathjens, J. (2016). RobPer: an R package to calculate periodograms for light curves based on robust regression. Journal of Statistical Software, 69 (9). doi:10.18637/jss.v069.i09
  • Voigt, T., Fried, R., Rhode, W., Temme, F. (2016). Distance-based variable generation with applications to the FACT experiment. Journal of Applied Statistics, 43 (7), 1186-1197. doi:10.1080/02664763.2015.1092115
  • Wornowizki, M., Fried, R. (2016). Two-sample homogeneity tests based on divergence measures. Computational Statistics, 31 (1), 291-313. doi:10.1007/s00180-015-0633-3
  • Wornowizki, M., Fried, R., Meintanis, S. G. (2016). Fourier methods for analysing piecewise constant volatilities. Discussion Paper / SFB 823 (Vol. 2016, 43). Dortmund. doi:10.17877/DE290R-17225

2015

  • Borowski, M., Busse D., Fried, R. (2015). Robust online-surveillance of trend-coherence in multivariate data streams: the similar trend monitoring (STM) procedure. Statistics and Computing, 25 (5), 913-928. doi:10.1007/s11222-014-9462-4
  • Dehling, H., Fried, R., García Arboleda, I., Wendler, M. (2015). Change-point detection under dependence based on two-sample U-statistics. Asymptotic Laws and Methods in Stochastics: A Volume in Honour of Miklós Csörgö, 195-220. doi:10.1007/978-1-4939-3076-0_12
  • Dehling, H., Fried, R., Wendler, M. (2015). A robust method for shift detection in time series. Discussion Paper / SFB 823 (Vol. 2015, 16). Dortmund. doi:10.17877/DE290R-7443
  • Dürre, A., Fried, R., Liboschik, T. (2015). Robust estimation of (partial) autocorrelation. Wiley Interdisciplinary Reviews, 7 (3), 205-222. doi:10.1002/wics.1351
  • Dürre, A., Vogel, D., Fried, R. (2015). Spatial sign correlation. Journal of Multivariate Analysis, 135, 89-105. doi:10.1016/j.jmva.2014.12.002
  • Fischer, S., Fried, R., Schumann, A. H. (2015). Examination of robustness of parametric estimators for flood statistics in the context of extraordinary extreme events. Hydrology and Earth System Sciences Discussions, 12 (8), 8553-8576. doi:10.5194/hessd-12-8553-2015
  • Fried, R., Aguesop, I., Bornkamp, B., Fokianos, K., Fruth, J., Ickstadt, K. (2015). Retrospective Bayesian outlier detection in INGARCH series. Statistics and Computing, 25 (2), 365-374. doi:10.1007/s11222-013-9437-x
  • Ruhe, T., Schmitz, M., Voigt, T., Wornowitzki, M. (2015). D-SEA: a data mining approach to unfolding. In: 33rd International Cosmic Ray Conference (ICRC 2013), Brazilian Journal of Physics, Vol. 5, 3354-3357.
  • Vogel, D., Fried, R. (2015). Robust change detection in the dependence structure of multivariate time series. Modern Nonparametric, Robust and Multivariate Methods: Festschrift in Honour of Hannu Oja, 265-288. doi:10.1007/978-3-19-22404-6_16
  • Voigt, T., Fried, R. (2015). Distance based feature construction in a setting of astronomy. In: Lausen B., Krolak-Schwerdt S., Böhmer M. (Eds.). Data Science, Learning by Latent Structures, and Knowledge Discovery, 475-485. Springer, Berlin, Heidelberg, 2015.
  • Dehling, H., Fried, R., García Arboleda, I., Wendler, M. (2015). Change-point detection under dependence based on two-sample U-statistics. In: Dawson, D., Kulik, R., Ould Haye, M., Szyszkowicz, B., Zhao, Y. (Eds.). Asymptotic Laws and Methods in Stochastics, 195-220. Springer, New York, NY.

2014

  • Borowski, M., Fried, R. (2014). Online signal extraction by robust regression in moving windows with data-adaptive width selection. Statistics and Computing, 24 (4), 597-613. doi:10-1007/s11222-013-9391-7
  • Dürre, A., Vogel, D., Tyler, D. E. (2014). The spatial sign covariance matrix with unknown location. Journal of Multivariate Analysis, 130, 107-117. doi:10.1016/j.jmva.2014.05.004
  • Elsaied, H., Fried R. (2014). Robust fitting of INARCH models. Journal of Time Series Analysis, 35 (6), 517-535. doi:10.1111/jtsa.12079
  • Fried, R., Elsaied, H., Liboschik, T., Fokianos, K., Kitromilidou, S. (2014). On outliers and interventions in count time series following GLMs. Austrian Journal of Statistics, 43 (3), 181-193. doi:10.17713/ajs.v43i3.30
  • Köllmann, C., Bornkamp,B., Ickstadt, K. (2014). Unimodal regression using Bernstein-Schoenberg splines and penalties. Biometrics, 70 (4), 783-793. doi:10.1111/biom.12193
  • Köllmann, C., Ickstadt, K., Fried, R. (2014). Beyond unimodal regression: modelling multimodality with piecewise unimodal, mixture or additive regression. Technical Report / SFB 876 (Vol. 2014, 8). Dortmund.
  • Voigt, T., Fried, R. (2014). Modeling Cherenkov telescope images for variable construction in classification. Proceedings of the 29th International Workshop on Statistical Modelling.
  • Voigt, T., Fried, R., Backes, M., Rhode, W. (2014). Gamma-hadron-separation in the MAGIC experiment. Data Analysis, Machine Learning and Knowledge Discovery, 115-124. doi:10.1007/978-3-319-01595-8_13
  • Voigt, T., Fried, R., Backes, M., Rhode, W. (2014). Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy. Advances in Data Analysis and Classification, 8 (2), 195-216. doi:10.1007/s11634-014-0167-5
  • Weyer, J., Fink, R. D., Liboschik, T. (2014). Softwarebasierte Methoden der Netzwerk-Analyse. Soziale Netzwerke: Konzepte und Methoden der sozialwissenschaftlichen Netzwerkforschung, 105-128. doi:10.1524/9783486778540.105
  • Fried, R., Elsaied, H., Liboschik, T., Fokianos, K., Kitromilidou, S. (2014). On outliers and interventions in count time series following GLMs. Austrian Journal of Statistics, 43 (3), 181-193. doi:10.17713/ajs.v43i3.30
  • Becker, C., Fried, R., Kuhnt, S. (Eds.) (2014). Robustness and complex data structures: Festschrift in honour of Ursula Gather. doi:10.1007/978-3-642-35494-6

2013

  • Dehling, H., Fried, R., Rooch, A., Taqqu, M. S., Wendler, M. (2013). Asymptotic distribution of some robust change-point tests for time series.. Oberwolfach Reports, 10 (3), 2757-2760.
  • Dehling, H., Fried, R., Sharipov, O., Vogel, D., Wornowizki M. (2013). Estimation of the variance of partial sums of dependent processes. Statistics, Probability Letters, 83 (1), 141-147. doi:10.1016/j.spl.2012.08.012
  • Morell, O., Otto, D., Fried, R. (2013). On robust cross-validation for nonparametric smoothing. Computional Statistics, 28 (4), 1617-1637. doi:10.1007/s00180-012-0369-2
  • Thieler, A. M., Backes, M., Fried, R., Rhode, W. (2013). Periodicity detection in irregularly sampled light curves by robust regression and outlier detection. Statistical Analysis and Data Mining, 6 (1), 73-89. doi:10.1002/sam.11178

2012

  • Dehling, H., Fried, R. (2012). Asymptotic distribution of two-sample empirical U-quantiles with applications to robust tests for shifts in location. Journal of Multivariate Analysis, 105 (1), 124-140. doi:10.1016/j.jmva.2011.08.014
  • Fokianos, K., Fried, R. (2012). Interventions in log-linear Poisson autoregression. Statistical Modelling, 12 (4), 299-322. doi:10.1177/1471082X1201200401
  • Fried, R. (2012). On the online estimation of local constant volatilities. Computational Statistics, Data Analysis, 56 (11), 3080-3090. doi:10.1016/j.csda.2011.02.012
  • Fried, R., Raabe, N., Thieler, A. M. (2012). On the robust analysis of periodic nonstationary time series. In: COMPSTAT: Proceedings in Computational Statistics, Physica, 245-257.
  • Hainke, K., Rahnenführer, J., Fried, R. (2012). Cumultative disease progression models for cross-sectional data: a review and comparison. Biometrical Journal, 54 (5), 617-640. doi:10.1002/bimj.201100186
  • Lohr, M., Köllmann, C., Freis, E., Hellwig, B., Hengstler, J. G., Ickstadt, K., Rahnenführer, J. (2012). Optimal strategies for sequential validation of significant features from high-dimensional genomic data. Journal of Toxicology and Environmental Health / A, 75 (43381), 447-460. doi:10.1080/15287394.2012.674912
  • Raabe, N., Thieler, A. M., Weihs, C., Fried, R., Rautert, C., Biermann, D. (2012). Modeling material heterogeneity by Gaussion random fields for the simulation of inhomogeneous mineral subsoil machining. In: Proceedings of SIMUL 2012, 97-102.

2011

  • Borowski, M., Fried, R. (2011). Robust repeated median regression in moving windows with data-adaptive width selection: SCARM - Slope Comparing Adaptive Repeated Median. Discussion Paper / SFB 823, (Vol. 2011, 28). Dortmund
  • Borowski, M., Görges, M., Fried, R., Such, O., Wrede, C., Imhoff, M. (2011). Medical device alarms. Biomedical Engineering, 56 (2), 73-83. doi:10.1515/BMT.2011.005
  • Fried, R., Dehling, H. (2011). Robust nonparametric tests for the two-sample location problem. Statistical Methods, Applications, 20 (4), 409-422. doi:10.1007/s10260-011-0164-1
  • Fried, R., George, A. C. (2011a). Exponential and Holt-Winters smoothing. International Encyclopedia of Statistical Science, Vol. 1, 488-490. doi:10.1007/978-3-642-04898-2_244
  • Fried, R., George, A. C. (2011b). Median filters and extensions. International Encyclopedia of Statistical Science, Vol. 2, 806. doi:10.1007/978-3-642-04898-2_361
  • Fried, R., Elsaied, H., Fokianos, K. (2011). Outliers and interventions in INGARCH time series . In: Proceedings of IWSM 2011, 234-239.
  • Luque, S. P., Fried, R. (2011). Recursive filtering for zero offset correction of diving depth time series with GNU R package diveMove. PLoS one / Public Library of Science, 6 (1), e15850. doi:10.1371/journal.pone.0015850
  • Villa, G., Molina, I., Fried, R. (2011). Modeling attendance at Spanish professional football league. Journal of Applied Statistics, 38 (6), 1189-1206. doi:10.1080/02664763.2010.491859
  • Vogel, D., Fried, R. (2011). Elliptical graphical modelling. Biometrika, 98 (4), 935-951. doi:10.1093/biomet/asr037

2010

  • Borowski, M., Fried, R., Imhoff, M., Such, O., Wrede, C. (2010). Alarmgebung medizintechnischer Geräte, VDE Positionspapier.
  • Dehling, H., Fried, R. (2010). Asymptotic distribution of two-sample empirical U-quantiles with application to robust tests for structural change . Discussion Paper / SFB 823 (Vol. 2010, 43). Dortmund. doi:10.17877/DE290R-7706
  • El-Saied, H., Fried R. (2010). M-estimation in INARCH models with a specific focus on small means. In: COMPSTAT: Proceedings in Computational Statistics, Physica, 967-974. http://extras.springer.com/2010/978-3-7908-2603-6
  • Fokianos, K., Fried, R. (2010). Interventions in INGARCH processes. Journal of Time Series Analysis. doi:10.1111/j.1467-9892.2010.00657.x
  • Gelper, S., Fried, R., Croux, C. (2010). Robust forecasting with exponential and Holt-Winters smoothing. Journal of Forecasting, 29 (3), 285-300. doi:10.1002/for.1125
  • Jeleazcov, C., Kranjinovic, L., Münster, T., Birkholz, T., Fried, R., Schüttler, J., Fechner, J. (2010). Precision and accuracy of a new device (CNAP) for continuos non-invasive arterial pressure monitoring: assessment during general anaesthesia. British Journal of Anaesthesia, 105 (3), 264-272. doi:10.1093/bja/aeq143
  • Morell, O., Otto, D., Fried, R. (2010). On robust cross-validation for nonparametric smoothing. Discussion Paper / SFB 823 (Vol. 2010, 17). Dortmund. doi:10.17877/DE290R-8729
  • Nunkesser, R., Morell, O. (2010). An evolutionary algorithm for robust regression. Computational Statistics, Data Analysis, 54 (12), 3242-3248. doi:10.1016/j.scda.2010.04.017
  • Schettlinger, K., Fried, R., Gather, U. (2010). Real time signal processing by adaptive repeated median filters. International Journal of Adaptive Control and Signal Processing, 24 (5), 346-362.
  • Vogel, D., Fried, R. (2010). On robust Gaussian graphical modelling. In: Devroye L., Karasözen B., Kohler M., Korn R. (Eds.). Recent Developments in Applied Probability and Statistics, 155-182. Physica-Verlag HD.

2009

  • Imhoff, M., Fried, R. (2009). The crying wolf: still crying?. Anesthesia, Analgesia, 108 (5), 1382-1383. doi:10.1213/ane.0b013e31819ed484
  • Imhoff, M., Kuhls, S., Gather, U., Fried, R. (2009). Smart alarms from medical devices in the OR and ICU. Best Practice, Research Clinical Anaesthesiology, 23 (1), 39-50. doi:10.1016/j.bpa.2008.07.008
  • Morell, O., Fried, R. (2009). On nonparametric tests for trend detection in seasional time series. In: Schipp B., Krämer W. (Eds.). Statistical Inference, Econometric Analysis and Matrix Algebra, 19-39. Physica-Verlag HD.
  • Nunkesser, R., Fried, R., Schettlinger, K., Gather, U. (2009). Online analysis of time series by the Qn estimator. Computational Statistics, Data Analysis, 53 (6), 2354-2362. doi:10.1016/j.csda.2008.02.027
  • Nunkesser, R., Morell, O. (2009). Evolutionary algorithms for robust methods. Technical Report / SFB 475 (Vol. 2008, 29). Dortmund. doi:10.17877/DE290R-12759

2008

  • Croux, C., Gelper, S., Fried, R. (2008). Computational aspects of robust Holt-Winters smoothing based on M-estimation. Applications of Mathematics, 53 (3), 163-176. doi:10.1007/s10492-008-0002-4
  • Fried, R. (2008). Robust shift detection in time varying autoregressive processes. Austrian Journal of Statistics, 37 (1), 41-49. doi:10.17713/ajs.v37i1.285
  • Fried, R., Gather, U., Schettlinger, K. (2008). Adaptive and robust signal extraction: proceedings IWAP. https://www.statistik.tu-dortmund.de/fileadmin/user_upload/Lehrstuehle/MSind/Publikationen/2008/2008_-_Fried_Gather_Schettlinger_-_Adaptive_and_Robust_Signal_Extraction_-_Proceedings_IWAP.pdf
  • Morell, O., Bernholt, T., Fried, R., Kunert, J., Nunkesser, R. (2008). An evolutionary algorithm for LTS-regression: a comparative study. In: COMPSTAT: Proceedings in Computational Statistics, Physica, CD-Rom: 585-593. doi:10.1007/978-3-7908-2084-3
  • Nunkesser, R., Schettlinger, K., Fried, R. (2008). Applying the Qn estimator online. In: Preisach, C., Burkhardt, H., Schmidt-Thieme, L., Decker, R. (Eds.). Data Analysis, Machine Learning and Applications. Studies in Classification, Data Analysis, and Knowledge Organization, 277-284. Springer Berlin Heidelberg.
  • Vogel, D., Fried, R. (2008). Estimating partial correlations using the Oja sign covariance matrix. In: COMPSTAT: Proceedings in Computational Statistics, Physica, CD-Rom: 721-729. doi:10.1007/978-3-7908-2084-3
  • Vogel, D., Köllmann, C., Fried, R. (2008). Partial correlation estimates based on signs. In: Proceedings of the 1st Workshop on Information Theoretic Methods in Science and Engineering, TICSP series, 43.

2007

  • Fried, R. (2007a). Robust location estimation under dependence. Journal of Statistical Computation and Simulation, 77 (2), 131-147. doi:10.1080/10629360600569311
  • Fried, R. (2007b). On the robust detection of edges in time series filtering. Computational Statistics, Data Analysis, 52 (2), 1063-1074. doi:10.1016/j.csda.2007.06.011
  • Fried, R., Einbeck, C., Gather, U. (2007). Weighted repeated median smoothing and filtering. Journal of the American Statistical Association, 102 (480), 1300-1308. doi:10.1198/016214507000001166
  • Fried, R., Gather, U. (2007). On rank tests for shift detection in time series. Computational Statistics, Data Analysis, 52 (1), 221-233. doi:10.1016/j.csda.2006.12.017
  • Morales, J., Castellanos, M. E., Mayoral, A. M., Fried, R., Armero, C. (2007). Bayesian design in queues: an application to aeronautic maintenance. Journal of Statistical Planning and Inference, 137 (10), 3058-3067. doi:10.1016/j.jspi.2006.06.046

2006

  • Bernholt, T., Fried, R., Gather, U., Wegener, I. (2006). Modified repeated median filters. Statistics and Computing, 16 (2), 177-192. doi:10.1007/s11222-006-8449-1
  • Fried, R., Bernholt, T., Gather, U. (2006). Repeated median and hybrid filters. Computational Statistics, Data Analysis, 50 (9), 2313-2338. doi:10.1016/j.csda.2004.12.013
  • Fried, R., Gather, U. (2006). On rank tests for shift detection in time series. Technical Report / SFB 475 (Vol. 2006, 48). Dortmund. doi:10.17877/DE290R-85
  • Fried, R., Kuhls, S., Molina, I. (2006). Analyzing associations in multivariate binary time series. In: COMPSTAT: Proceedings in Computational Statistics, Physica, 985-992.
  • Gather, U., Fried, R., Lanius, V. (2006). Robust Detail-Preserving Signal Extraction. In: Schelter, B., Winterhalder, M., Timmer, J. Handbook of Time Series Analysis: Recent Theoretical Developments and Applications, 143-169. Wiley.
  • Gather, U., Schettlinger, K., Fried, R. (2006). Online signal extraction by robust linear regression. Computational Statistics, 21 (1), 33-51. doi:10.1007/s00180-006-0249-8
  • Schettlinger, K., Fried, R., Gather, U. (2006). Robust filters for intensive care monitoring: beyond the running median. Biomedical Engineering, 51 (2), 49-56. doi:10.1515/BMT.2006.010

2005

  • Fried, R., Didelez, V. (2005). Latent variable analysis and partial correlation graphs for multivariate time series. Statistics, Probability Letters, 73 (3), 287-296. doi:10.1016/j.spl.2005.04.002
  • Fried, R., Didelez, V., Lanius, V. (2005). Partial correlation graphs and dynamic latent variables for physiological time series. In: Baier, D., Wernecke, K.-D. (Eds.). Innovations in Classification, Data Science, and Information Systems, 259-266. Springer Berlin Heidelberg.
  • Fried, R., Gather, U. (2005). Robust trend estimation for AR(1) disturbances. Austrian Journal of Statistics, 34 (2), 139-151. doi:10.17877/DE290R-7233
  • Gather, U., Einbeck, J, Fried, R. (2005). Weighted repeated median smoothing and filtering. Technical Report / SFB 475 (Vol. 2005, 33). Dortmund.
  • Gather, U., Fried, R., Lanius, V. (2005). Robust detail preserving signal extraction. Technical Report / SFB 475 (Vol. 2005, 54). Dortmund. doi:10.17877/DE290R-15406

2004

  • Bernholt, T., Fried, R., Gather, U., Wegener, I. (2004). Modified repeated median filters. Technical Report / SFB 475 (Vol. 2004, 46). Dortmund.
  • Davies, P. L., Fried, R., Gather, U. (2004). Robust signal extraction for on-line monitoring data. Journal of Statistical Planning and Inference, 122, 65-78. doi:10.1016/j.jspi.2003.06.012
  • Fried, R.(2004a). An investigation of humus disintegration by spatial temporal regression analysis. Journal of Agricultural, Biological, and Environmental Statistics, 9, 138-157. doi:10.1198/1085711043127_a
  • Fried, R.(2004b). Robust filtering of time series with trends. Journal of Nonparametric Statistics, 16 (3-4), 313-328. doi:10.1080/10485250410001656444
  • Fried, R., Bernholt, T., Gather, U. (2004). Repeated median and hybrid filters. Technical Report / SFB 475 (Vol. 2004, 10). Dortmund. doi:10.17877/DE290R-5413
  • Fried, R., Gather, U. (2004). Robust trend estimation for AR(1) disturbances. Technical Report / SFB 475 (Vol. 2004, 64). Dortmund. doi:10.17877/DE290R-7233
  • Fried, R., Imhoff, M. (2004). On the online detection of monotonic trends in time series. Biometrical Journal, 46 (1), 90-102. doi:10.1002/bimj.200410007
  • Gather, U., Fried, R. (2004). Methods and algorithms for robust filtering. In: COMPSTAT: Proceedings in Computational Statistics, Physica, 159-170. doi:10.1007/978-3-7908-2656-2_12
  • Gather, U., Schettlinger, K., Fried, R. (2004). Online signal extraction by robust linear regression. Technical Report / SFB 475 (Vol. 2004, 53). Dortmund. doi:10.17877/DE290R-5431

2003

  • Fried, R., Didelez, V. (2003a). Decomposability and selection of graphical models for multivariate time series. Biometrika, 90 (2), 251-267. doi:10.1093/biomet/90.2.251
  • Fried, R., Didelez, V. (2003b). Latent variable analysis and partial correlation graphs for multivariate time series. Technical report / SFB 475 (Vol. 2003, 6). Dortmund. doi:10.17877/DE290R-7030
  • Becker, C., Fried, R. (2003). Sliced Inverse Regression for High-dimensional Time Series. In: Schwaiger, M., Opitz, O. (Eds.). Exploratory Data Analysis in Empirical Research, 3-11. Springer.
  • Bernholt, T., Fried, R. (2003). Computing the update of the repeated median regression line in linear time. Information Processing Letters, 88 (3), 111-117. doi:10.1016/S0020-0190(03)00350-8
  • Fried, R., Gather, U., Imhoff, M. (2003). Extraction of a local linear trend from a physiological time series. AMIA Annual Symposium Proceedings, 845.
  • Imhoff, M., Fried, R., Gather, U., Lanius, V. (2003). Dimension reduction for physiological variables using graphical modeling. AMIA Annual Symposium Proceedings, 313-317.

2002

  • Bauer, M., Gather, U., Fried, R. (2002). The identification of multiple outliers in online monitoring data. Estadística, 54 (162-163), 289-338. doi:10.17877/DE290R-5419
  • Davies, P. L., Fried, R., Gather, U. (2002). Robust signal extraction for on-line monitoring data. Technical Report / SFB 475 (Vol. 2002, 2). Dortmund. doi:10.17877/DE290R-5530
  • Fried, R. (2002). Time series models with given interactions. Distributions with Given Marginals and Statistical Modelling, 93-102. doi:10.1007/978-94-017-0061-0_11
  • Fried, R., Gather, U. (2002a). Robust estimation of scale for local linear temporal trends. Technical Report / SFB 475, (Vol. 2002, 44). Dortmund
  • Fried, R., Gather, U. (2002b). Robust preprocessing of time series with trends. In: Informatik bewegt, 793-798.
  • Fried, R., Gather, U. (2002c). Fast and robust filtering in time series with trends. In: COMPSTAT: Proceedings in Computational Statistics, Physica, 367-372. doi:10.1007/978-3-642-57489-4_54
  • Fried, R., Gather, U., Imhoff, M. (2002). Pattern recognition in intensive care online monitoring. Computational Intelligence Processing in Medical Diagnosis, 129-172. doi:10.1007/978-3-7908-1788-1_6
  • Fried, R., Gather, U., Imhoff, M., Keller, M., Lanius, V. (2002). Combining graphical models and PCA for statstistical process control. In: COMPSTAT: Proceedings in Computational Statistics, Physica, 237-242. doi:10.1007/978-3-642-57489-4_32
  • Fried, R., Imhoff, M. (2002). On the online detection of monotonic trends in time series. Technical Report / SFB 475 (Vol. 2002, 68). Dortmund. doi:10.17877/DE290R-15119
  • Gather, U., Fried, R. , Imhoff, M., Becker, C. (2002). Patterns of dependencies in dynamic multivariate data. In: Hand, D. J., Adams, N. M., Bolton R. J. (Eds.). Pattern Detection and Discovery, 214-226. Springer.
  • Gather, U., Imhoff, M., Fried, R. (2002). Graphical models for multivariate time series from intensive care monitoring. Statistics in Medicine, 21 (18), 2685-2701. doi:10.1002/sim.1209
  • Imhoff, M., Bauer, M., Gather, U., Fried, R. (2002). Pattern detection in intensive care monitoring time series with autoregressive models: influence of the model order. Biometrical Journal, 44 (6), 746-761. doi:10.1002/1521-4036(200209)44:6<746::aid-bimj746>3.0.CO;2-2
  • Imhoff, M., Fried, R., Gather, U. (2002). Detecting relationships between physiological variables using graphical models. In: Proceedings of the AMIA Annual Symposium, 340-344.

2001

  • Fried, R. (2001a). Autoregressive linear mixed models for investigating humus disintegration. Biometrical Journal, 43 (6), 747-766. 3.0.CO;2-S">http://dx.doi.org/10.1002/1521-4036(200110)43:6<747::AID-BIMJ747>3.0.CO;2-S
  • Fried, R. (2001b). Recursive linear mixed models: some results on shared parameter estimation. Journal of Statistical Computation and Simulation, 70 (2), 135-160. doi:10.1080/00949650108812113
  • Fried, R. (2001c). Online detection of trends in time series. Revista de Estatística - Statistical Review, (2), 199-202.
  • Becker, C. Fried, R., Gather, U. (2001). Applying sliced inverse regression to dynamical data. In: J. Kunert, J., Trenkler, G. (Eds.). Mathematical Statistics with Applications in Biometry. Festschrift in Honour of Siegfried Schach, 201-214. Josef Eul Verlag.
  • Fried, R., Eichhorn, J., Paar, U. (2001). Exploratory analysis and a stochastical model for humusdisintegration. Environmental Monitoring and Assessment, 68 (3), 273-295. doi:10.1023/A:1010755709242
  • Fried, R., Gather, U., Imhoff, M. (2001). Online pattern recognition in intensive care medicine. In: Proceedings of the AMIA Annual Symposium, 184-188.
  • Gather, U., Fried, R., Lanius, V., Imhoff, M. (2001). Online monitoring of high dimensional physiological time series: a case study. Estadística, 53. doi:10.17877/DE290R-15223

2000

  • Bauer, M., Gather, U., Fried, R., Imhoff, M. (2000). Dimension reduction for highdimensional online-monitoring data in intensive care. Studies in Health Technology and Informatics, 77, 767-771. doi:10.3233/978-1-60750-921-9-767
  • Fried, R. (2000). Graphical and phase space models for univariate time series. In: COMPSTAT: Proceedings in Computational Statistics, Physica, 307-312. doi:10.1007/978-3-642-57678-2_38
  • Fried, R., Gather, U., Imhoff, M., Bauer, M. (2000). Some statistical methods in intensive care online monitoring: a review. In: Brause R.W., Hanisch E. (Eds.). Medical Data Analysis. ISMDA 2000, 67-77. Springer.
  • Gather, U., Fried, R., Imhoff, M. (2000). Online classification of states in intensive care. In: Gaul, W., Opitz, O., Schader, M. (Eds.). Data Analysis, 413-428. Springer, Berlin, Heidelberg.
  • Gather, U., Imhoff, M., Fried, R. (2000). Graphical models for multivariate time series from intensive care monitoring. Technical Report / SFB 475 (Vol. 2000, 32). Dortmund. doi:10.17877/DE290R-5385