相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes
Alicia S. Chua et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2022)
A Bayesian non-linear state space copula model for air pollution in Beijing
Alexander Kreuzer et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2022)
A copula-based Gaussian mixture closure method for stochastic response of nonlinear dynamic systems
Ruijing Zhang et al.
PROBABILISTIC ENGINEERING MECHANICS (2020)
A moment-equation-copula-closure method for nonlinear vibrational systems subjected to correlated noise
Han Kyul Joo et al.
PROBABILISTIC ENGINEERING MECHANICS (2016)
On Particle Methods for Parameter Estimation in State-Space Models
Nikolas Kantas et al.
STATISTICAL SCIENCE (2015)
Modeling diurnal hormone profiles by hierarchical state space models
Ziyue Liu et al.
STATISTICS IN MEDICINE (2015)
Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures
Jennifer F. Bobb et al.
BIOSTATISTICS (2015)
Tail-weighted measures of dependence
Pavel Krupskii et al.
JOURNAL OF APPLIED STATISTICS (2015)
Factor copula models for multivariate data
Pavel Krupskii et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2013)
Efficient Bayesian inference for stochastic time-varying copula models
Carlos Almeida et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2012)
Tracking measles infection through non-linear state space models
Shi Chen et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2012)
Space-time modelling of coupled spatiotemporal environmental variables
L. Ippoliti et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2012)
Dynamic stochastic copula models: estimation, inference and applications
Christian M. Hafner et al.
JOURNAL OF APPLIED ECONOMETRICS (2012)
Riemann manifold Langevin and Hamiltonian Monte Carlo methods
Mark Girolami et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)
INTERVENTION ANALYSIS WITH STATE-SPACE MODELS TO ESTIMATE DISCONTINUITIES DUE TO A SURVEY REDESIGN
Jan Van den Brakel et al.
ANNALS OF APPLIED STATISTICS (2010)
BART: BAYESIAN ADDITIVE REGRESSION TREES
Hugh A. Chipman et al.
ANNALS OF APPLIED STATISTICS (2010)
Particle Markov chain Monte Carlo methods
Christophe Andrieu et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2010)
On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario
S. De Vito et al.
SENSORS AND ACTUATORS B-CHEMICAL (2008)
Strictly proper scoring rules, prediction, and estimation
Tilmann Gneiting et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2007)
Bayesian state and parameter estimation of uncertain dynamical systems
JY Ching et al.
PROBABILISTIC ENGINEERING MECHANICS (2006)
A non-linear and non-Gaussian state-space model for censored air pollution data
CJ Johns et al.
ENVIRONMETRICS (2005)
Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives
J Durbin et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2000)