Search Results - "FRIED, Roland"

tscount : An R Package for Analysis of Count Time Series Following Generalized Linear Models by Liboschik, Tobias, Fokianos, Konstantinos, Fried, Roland

“…The R package tscount provides likelihood-based estimation methods for analysis and modeling of count time series following generalized linear models. This is…”
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QANOVA: quantile-based permutation methods for general factorial designs by Ditzhaus, Marc, Fried, Roland, Pauly, Markus

“…Population means and standard deviations are the most common estimands to quantify effects in factorial layouts. In fact, most statistical procedures in such…”
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Spatio-Temporal Count Autoregression by Maletz, Steffen, Fokianos, Konstantinos, Fried, Roland

“…We study the problem of modeling and inference for spatio-temporal count processes. Our approach uses parsimonious parameterisations of multivariate…”
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TEAD–YAP Interaction Inhibitors and MDM2 Binders from DNA‐Encoded Indole‐Focused Ugi Peptidomimetics by Kunig, Verena B. K., Potowski, Marco, Akbarzadeh, Mohammad, Klika Škopić, Mateja, Santos Smith, Denise, Arendt, Lukas, Dormuth, Ina, Adihou, Hélène, Andlovic, Blaž, Karatas, Hacer, Shaabani, Shabnam, Zarganes‐Tzitzikas, Tryfon, Neochoritis, Constantinos G., Zhang, Ran, Groves, Matthew, Guéret, Stéphanie M., Ottmann, Christian, Rahnenführer, Jörg, Fried, Roland, Dömling, Alexander, Brunschweiger, Andreas

“…DNA‐encoded combinatorial synthesis provides efficient and dense coverage of chemical space around privileged molecular structures. The indole side chain of…”
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ADHD medicine consumption in Europe after COVID-19: catch-up or trend change? by Gimbach, Sophie, Vogel, Daniel, Fried, Roland, Faraone, Stephen V, Banaschewski, Tobias, Buitelaar, Jan, Döpfner, Manfred, Ammer, Richard

“…Although the COVID-19 pandemic and its implications have been associated with mental health services utilization and medication consumption, there is no…”
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RobPer : An R Package to Calculate Periodograms for Light Curves Based on Robust Regression by Thieler, Anita M., Fried, Roland, Rathjens, Jonathan

“…An important task in astroparticle physics is the detection of periodicities in irregularly sampled time series, called light curves. The classic Fourier…”
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Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV by Hainke, Katrin, Szugat, Sebastian, Fried, Roland, Rahnenführer, Jörg

“…Disease progression models are important for understanding the critical steps during the development of diseases. The models are imbedded in a statistical…”
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Stroke-derived neutrophils demonstrate higher formation potential and impaired resolution of CD66b + driven neutrophil extracellular traps by Datsi, Angeliki, Piotrowski, Laura, Markou, Markella, Köster, Thomas, Kohtz, Isabelle, Lang, Kerstin, Plöttner, Sabine, Käfferlein, Heiko Udo, Pleger, Burkhard, Martinez, Ramon, Pintea, Bogdan, Fried, Roland, Müller, Marcus, Chapot, Rene, Gousias, Konstantinos

“…Recent evidence suggests a merging role of immunothrombosis in the formation of arterial thrombosis. Our study aims to investigate its relevance in stroke…”
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Correction to: Stroke‑derived neutrophils demonstrate higher formation potential and impaired resolution of CD66b + driven neutrophil extracellular traps by Datsi, Angeliki, Piotrowski, Laura, Markou, Markella, Köster, Thomas, Kohtz, Isabelle, Lang, Kerstin, Plöttner, Sabine, Käfferlein, Heiko Udo, Pleger, Burkhard, Martinez, Ramon, Pintea, Bogdan, Fried, Roland, Müller, Marcus, Chapot, Rene, Gousias, Konstantinos

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Recursive filtering for zero offset correction of diving depth time series with GNU R package diveMove by Luque, Sebastián P, Fried, Roland

“…Zero offset correction of diving depth measured by time-depth recorders is required to remove artifacts arising from temporal changes in accuracy of pressure…”
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Robust nonparametric tests for the two-sample location problem by Fried, Roland, Dehling, Herold

“…We construct and investigate robust nonparametric tests for the two-sample location problem. A test based on a suitable scaling of the median of the set of…”
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Smart alarms from medical devices in the OR and ICU by Imhoff, Michael, Priv.-Doz. Dr. med, Kuhls, Silvia, Dr. rer. nat, Gather, Ursula, Prof. Dr. rer. nat, Fried, Roland, Prof. Dr. rer. nat

“…Alarms in medical devices are a matter of concern in critical and perioperative care. The high rate of false alarms is not only a nuisance for patients and…”
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Robust Shift Detection in Time-Varying Autoregressive Processes by Fried, Roland

“…Tests for shift detection in locally-stationary autoregressive time series are constructed which resist contamination by a substantial amount of outliers…”
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Robust Test for Detecting Changes in the Autocovariance Function of a Time Series by Dürre, Alexander, Fried, Roland

“…We propose a new robust test to detect changes in the autocovariance function of a time series. The test is based on empirical autocovariances of a robust…”
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Interventions in INGARCH processes by Fokianos, Konstantinos, Fried, Roland

“…We study the problem of intervention effects generating various types of outliers in a linear count time‐series model. This model belongs to the class of…”
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Robust forecasting with exponential and Holt-Winters smoothing by Gelper, Sarah, Fried, Roland, Croux, Christophe

“…Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. They are suitable for forecasting univariate time series in…”
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On the online estimation of local constant volatilities by Fried, Roland

“…Time varying volatilities in financial time series are commonly modeled by GARCH or by stochastic volatility models. Models with piecewise constant…”
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Statistical analysis of multivariate discrete-valued time series by Fokianos, Konstantinos, Fried, Roland, Kharin, Yuriy, Voloshko, Valeriy

“…This work gives an overview of statistical analysis for some models for multivariate discrete-valued (MDV) time series. We present observation-driven models…”
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Online monitoring of dynamic networks using flexible multivariate control charts by Flossdorf, Jonathan, Fried, Roland, Jentsch, Carsten

“…Change-point detection in dynamic networks is a challenging task which is particularly due to the complex nature of temporal graphs. Existing approaches are…”
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Conditional heavy-tail behavior with applications to precipitation and river flow extremes by Kinsvater, Paul, Fried, Roland

“…This article deals with the right-tail behavior of a response distribution F Y conditional on a regressor vector X = x restricted to the heavy-tailed case of…”
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