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10/31/2022
Convergence of Dirichlet Forms for MCMC Optimal Scaling with General Target Distributions on Large Graphs
Markov chain Monte Carlo (MCMC) algorithms have played a significant rol...
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06/08/2022
An iterated block particle filter for inference on coupled dynamic systems with shared and unit-specific parameters
We consider inference for a collection of partially observed, stochastic...
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10/20/2021
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
Parameter learning for high-dimensional, partially observed, and nonline...
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06/26/2021
The mbsts package: Multivariate Bayesian Structural Time Series Models in R
The multivariate Bayesian structural time series (MBSTS) model as a gene...
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06/18/2021
Systemic Infinitesimal Over-dispersion on General Stochastic Graphical Models
Stochastic models of interacting populations have crucial roles in scien...
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10/04/2020
Multivariate Quantile Bayesian Structural Time Series (MQBSTS) Model
In this paper, we propose the multivariate quantile Bayesian structural ...
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07/01/2020
Scalable Monte Carlo Inference and Rescaled Local Asymptotic Normality
Statisticians are usually glad to obtain additional data, but Monte Carl...
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07/08/2019
Facial Makeup Transfer Combining Illumination Transfer
To meet the women appearance needs, we present a novel virtual experienc...
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06/22/2019
The non-tightness of the reconstruction threshold of a 4 states symmetric model with different in-block and out-block mutations
The tree reconstruction problem is to collect and analyze massive data a...
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01/22/2018
Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?
Based on endogenous economic growth models and the panel data of 31 regi...
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01/22/2018
The Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?
Based on endogenous economic growth models and the panel data of 31 regi...
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01/10/2018
