Variational Bayesian analysis of nonhomogeneous hidden Markov models with long and ultralong sequences

[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 .