References

Bulla, Jan, and Andreas Berzel. 2008. “Computational Issues in Parameter Estimation for Stationary Hidden Markov Models.” Computational Statistics 23 (1): 1–18. https://doi.org/10.1007/s00180-007-0063-y.

Celeux, Gilles, and Jean-Baptiste Durand. 2008. “Selecting Hidden Markov Model State Number with Cross-Validated Likelihood.” Computational Statistics 23 (4): 541–64. https://doi.org/10.1007/s00180-007-0097-1.

Corporation, Microsoft, and Steve Weston. 2022. doParallel: Foreach Parallel Adaptor for the Parallel Package. https://github.com/RevolutionAnalytics/doparallel.

Genz, Alan, Frank Bretz, Tetsuhisa Miwa, Xuefei Mi, and Torsten Hothorn. 2021. Mvtnorm: Multivariate Normal and t Distributions. http://mvtnorm.R-forge.R-project.org.

Kristensen, Kasper. 2022. TMB: Template Model Builder: A General Random Effect Tool Inspired by ADMB. https://github.com/kaskr/adcomp/wiki.

Leroux, Brian G., and Martin L. Puterman. 1992. “Maximum-Penalized-Likelihood Estimation for Independent and Markov- Dependent Mixture Models.” Biometrics 48 (2): 545–58. https://doi.org/10.2307/2532308.

Meeker, William Q., and Luis A. Escobar. 1995. “Teaching about Approximate Confidence Regions Based on Maximum Likelihood Estimation.” The American Statistician 49 (1): 48–53. https://doi.org/10.1080/00031305.1995.10476112.

Mersmann, Olaf. 2021. Microbenchmark: Accurate Timing Functions. https://github.com/joshuaulrich/microbenchmark/.

Pohle, Jennifer, Roland Langrock, Floris M. van Beest, and Niels Martin Schmidt. 2017a. “Selecting the Number of States in Hidden Markov Models: Pragmatic Solutions Illustrated Using Animal Movement.” Journal of Agricultural, Biological and Environmental Statistics 22 (3): 270–93. https://doi.org/10.1007/s13253-017-0283-8.

Pohle, Jennifer, Roland Langrock, Floris van Beest, and Niels Martin Schmidt. 2017b. “Selecting the Number of States in Hidden Markov Models - Pitfalls, Practical Challenges and Pragmatic Solutions.” arXiv:1701.08673 [q-Bio, Stat], April. https://arxiv.org/abs/1701.08673.

Probst, Thomas, Rüdiger Pryss, Berthold Langguth, and Winfried Schlee. 2016. “Emotion Dynamics and Tinnitus: Daily Life Data from the ‘TrackYourTinnitus’ Application.” Scientific Reports 6 (1): 31166. https://doi.org/10.1038/srep31166.

Pryss, R., M. Reichert, J. Herrmann, B. Langguth, and W. Schlee. 2015. “Mobile Crowd Sensing in Clinical and Psychological Trials A Case Study.” In 2015 IEEE 28th International Symposium on Computer-Based Medical Systems, 23–24. https://doi.org/10.1109/CBMS.2015.26.

Pryss, R., M. Reichert, B. Langguth, and W. Schlee. 2015. “Mobile Crowd Sensing Services for Tinnitus Assessment, Therapy, and Research.” In 2015 IEEE International Conference on Mobile Services, 352–59. https://doi.org/10.1109/MobServ.2015.55.

Revolution Analytics, and Steve Weston. n.d. Foreach: Provides Foreach Looping Construct.

Wald, Abraham. 1943. “Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations Is Large.” Transactions of the American Mathematical Society 54 (3): 426–82. https://doi.org/10.2307/1990256.

Zucchini, W., I. L. MacDonald, and R. Langrock. 2016. Hidden Markov Models for Time Series: An Introduction Using r, Second Edition. Chapman & Hall/CRC Monographs on Statistics & Applied Probability. CRC Press.