Bernoulli vector autoregressive model
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[1] J. Teugels. Some representations of the multivariate Bernoulli and binomial distributions , 1990 .
[2] A. Raftery,et al. The Mixture Transition Distribution Model for High-Order Markov Chains and Non-Gaussian Time Series , 2002 .
[3] Babak Shahbaba,et al. Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States , 2018, J. Classif..
[4] Brendan McCabe,et al. Forecasting discrete valued low count time series , 2004 .
[5] Michael L. Stein,et al. A stochastic space-time model for intermittent precipitation occurrences , 2016, 1602.02902.
[6] Adelchi Azzalini,et al. Logistic regression and other discrete data models for serially correlated observations , 1994 .
[7] Patrizia Semeraro,et al. Characterization of multivariate Bernoulli distributions with given margins , 2017 .
[8] G. Wahba,et al. Multivariate Bernoulli distribution , 2012, 1206.1874.
[9] A. Raftery. A model for high-order Markov chains , 1985 .
[10] Rob J Hyndman,et al. Nonparametric additive regression models for binary time series , 1999 .
[11] João Nicolau. A New Model for Multivariate Markov Chains , 2014 .
[12] João Nicolau,et al. A simple nonparametric method to estimate the expected time to cross a threshold , 2017 .
[13] D. Cox,et al. A note on pseudolikelihood constructed from marginal densities , 2004 .
[14] Anne-Catherine Favre,et al. The new family of Fisher copulas to model upper tail dependence and radial asymmetry: Properties and application to high‐dimensional rainfall data , 2018 .
[15] C. Varin,et al. A mixed autoregressive probit model for ordinal longitudinal data. , 2010, Biostatistics.
[16] J. C. van Houwelingen,et al. Logistic Regression for Correlated Binary Data , 1994 .
[17] Claudia Czado,et al. Predictive Model Assessment for Count Data , 2009, Biometrics.
[18] Ed. McKenzie,et al. SOME SIMPLE MODELS FOR DISCRETE VARIATE TIME SERIES , 1985 .