Variational Bayesian analysis of nonhomogeneous hidden Markov models with long and ultralong sequences
暂无分享,去创建一个
[1] Xinyuan Song,et al. Bayesian hidden Markov models for delineating the pathology of Alzheimer’s disease , 2019, Statistical methods in medical research.
[2] Yang Li,et al. Probabilistic Topic Model for Hybrid Recommender Systems: A Stochastic Variational Bayesian Approach , 2018, Mark. Sci..
[3] Wayne S. DeSarbo,et al. A Factorial Hidden Markov Model for the Analysis of Temporal Change in Choice Models , 2018 .
[4] Hongtu Zhu,et al. Hidden Markov latent variable models with multivariate longitudinal data , 2017, Biometrics.
[5] M. Gentzkow,et al. Text As Data , 2017, Journal of Economic Literature.
[6] D. Nott,et al. Gaussian Variational Approximation With a Factor Covariance Structure , 2017, Journal of Computational and Graphical Statistics.
[7] Bruce G. S. Hardie,et al. Some Customers Would Rather Leave Without Saying Goodbye , 2016, Mark. Sci..
[8] Zheng Fang,et al. Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness , 2016, Mark. Sci..
[9] David M. Blei,et al. Variational Inference: A Review for Statisticians , 2016, ArXiv.
[10] Sunder Kekre,et al. The Squeaky Wheel Gets the Grease - An Empirical Analysis of Customer Voice and Firm Intervention on Twitter , 2015, Mark. Sci..
[11] Malcolm Farrow,et al. Bayesian modelling of rainfall data by using non‐homogeneous hidden Markov models and latent Gaussian variables , 2015 .
[12] Nathan M. Fong,et al. Geo-Conquesting: Competitive Locational Targeting of Mobile Promotions , 2014 .
[13] Zheng Fang,et al. Mobile Targeting , 2013, Manag. Sci..
[14] Tamara B Harris,et al. Partially Ordered Mixed Hidden Markov Model for the Disablement Process of Older Adults , 2013, Journal of the American Statistical Association.
[15] James G. Scott,et al. Journal of the American Statistical Association Bayesian Inference for Logistic Models Using Pólya–gamma Latent Variables Bayesian Inference for Logistic Models Using P ´ Olya–gamma Latent Variables , 2022 .
[16] Petros Dellaportas,et al. Forecasting with non-homogeneous hidden Markov models , 2011, Stat. Comput..
[17] Eric Moulines,et al. Inference in hidden Markov models , 2010, Springer series in statistics.
[18] Ricardo Montoya,et al. Dynamic Allocation of Pharmaceutical Detailing and Sampling for Long-Term Profitability , 2010, Mark. Sci..
[19] Alexander Shapiro,et al. Stochastic Approximation approach to Stochastic Programming , 2013 .
[20] Jon D. McAuliffe,et al. Variational Inference for Large-Scale Models of Discrete Choice , 2007, 0712.2526.
[21] R. Altman. Mixed Hidden Markov Models , 2007 .
[22] A. Raftery,et al. Strictly Proper Scoring Rules, Prediction, and Estimation , 2007 .
[23] V. Araújo. Random Dynamical Systems , 2006, math/0608162.
[24] Luigi Spezia,et al. Bayesian analysis of non-homogeneous hidden Markov models , 2006 .
[25] R. Staelin,et al. A Customer Relationship Management Roadmap: What is Known, Potential Pitfalls, and Where to Go , 2005 .
[26] S. Frühwirth-Schnatter. Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models , 2001 .
[27] L. Baum,et al. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains , 1970 .
[28] H. Robbins. A Stochastic Approximation Method , 1951 .
[29] Oded Netzer,et al. A Hidden Markov Model of Customer Relationship Dynamics , 2008, Mark. Sci..
[30] James P. Hughes,et al. A non‐homogeneous hidden Markov model for precipitation occurrence , 1999 .
[31] P. McCullagh. Regression Models for Ordinal Data , 1980 .