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在“SpringerLink电子期刊”中，命中：5条，耗时：小于0.01 秒

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1. Markov-switching generalized additive models

作者： Roland Langrock ; Thomas Kneib ; Richard Glennie ; Théo Michelot

关键词：P ; splines ; Hidden Markov model ; Penalized likelihood ; Time series regression

刊名：Statistics and Computing

出版年：2017

2. Hidden Markov Models for Time Series: An Introduction Using R, 2nd Edition, by Walter Zucchini, Iain L. MacDonald, and Roland Langrock

作者： Leo Polansky

刊名：Journal of Agricultural, Biological and Environmental Statistics

出版年：2017

3. Semiparametric stochastic volatility modelling using penalized splines

作者： Roland Langrock ; Théo Michelot ; Alexander Sohn ; Thomas Kneib

关键词：B ; splines ; Cross ; validation ; Forward algorithm ; Hidden Markov model ; Numerical integration ; Penalized likelihood

刊名：Computational Statistics

出版年：2015

4. Kernel-based semiparametric multinomial logit modelling of political party preferences

作者：Roland Langrock (1)
Nils-Bastian Heidenreich (2)
Stefan Sperlich (3)

关键词：Kernel regression ; Multiple choice models ; Profile likelihood ; Semiparametric modelling ; Voter profiling

刊名：Statistical Methods & Applications

出版年：2014

5. Modeling the Diving Behavior of Whales: A Latent-Variable Approach with Feedback and Semi-Markovian Components

作者：Roland Langrock (1)
Tiago A. Marques (1)
Robin W. Baird (2)
Len Thomas (1)

关键词：Behavioral state ; Distance sampling ; Hidden Markov model ; Maximum likelihood ; Movement model

刊名：Journal of Agricultural, Biological, and Environmental Statistics

出版年：2014

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