Search Results for author: Ning Ning

Found 6 papers, 0 papers with code

Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality

no code implementations20 Oct 2021 Ning Ning, Edward L. Ionides

Parameter learning for high-dimensional, partially observed, and nonlinear stochastic processes is a methodological challenge.

The mbsts package: Multivariate Bayesian Structural Time Series Models in R

no code implementations26 Jun 2021 Ning Ning, Jinwen Qiu

The multivariate Bayesian structural time series (MBSTS) model \citep{qiu2018multivariate, Jammalamadaka2019Predicting} as a generalized version of many structural time series models, deals with inference and prediction for multiple correlated time series, where one also has the choice of using a different candidate pool of contemporaneous predictors for each target series.

feature selection Time Series Forecasting

Probabilistic Feature Selection in Joint Quantile Time Series Analysis

no code implementations4 Oct 2020 Ning Ning

Feature selection is conducted in the quantile regression component, where each time series has its own pool of contemporaneous external predictors allowing "nowcasting".

feature selection Time Series +1

Facial Makeup Transfer Combining Illumination Transfer

no code implementations8 Jul 2019 Xin Jin, Rui Han, Ning Ning, Xiao-Dong Li, Xiaokun Zhang

To meet the women appearance needs, we present a novel virtual experience approach of facial makeup transfer, developed into windows platform application software.

Facial Makeup Transfer

The non-tightness of the reconstruction threshold of a 4 states symmetric model with different in-block and out-block mutations

no code implementations22 Jun 2019 Wenjian Liu, Ning Ning

The tree reconstruction problem is to collect and analyze massive data at the $n$th level of the tree, to identify whether there is non-vanishing information of the root, as $n$ goes to infinity.

Stochastic Block Model

Multivariate Bayesian Structural Time Series Model

no code implementations10 Jan 2018 S. Rao Jammalamadaka, Jinwen Qiu, Ning Ning

This paper deals with inference and prediction for multiple correlated time series, where one has also the choice of using a candidate pool of contemporaneous predictors for each target series.

feature selection Time Series

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