Robust causal inference for point exposures with missing confounders
Canadian Journal of Statistics, EarlyView.Abstract Large observational databases are often subject to missing data. As such, methods for causal inference must simultaneously handle confounding and missingness; surprisingly little work has been done at this intersection. Motivated by this, we propose an efficient and robust estimator of the causal average treatment effect from cohort studies ...
Alexander W. Levis +3 more
wiley +1 more source
Successive Refinement for Lossy Compression of Individual Sequences. [PDF]
Entropy (Basel)Merhav N.
europepmc +1 more source
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models
Canadian Journal of Statistics, EarlyView.Abstract In this article, we propose a flexible Bayesian modelling framework and investigate the probabilistic weighted Dirichlet process mixture (pWDPM). The construction and properties of a probabilistic weight function are illustrated. The advantage of the pWDPM under the log‐squared transformed stochastic volatility (SV) model is demonstrated.
Peng Sun, Inyoung Kim, Ki‐Ahm Lee
wiley +1 more source
Attraction to equilibria in discrete population models with delayed feedbacks: stage-structure versus age-structure. [PDF]
J Math BiolEl-Morshedy HA, Ruiz-Herrera A.
europepmc +1 more source
The quantile‐based classifier with variable‐wise parameters
Canadian Journal of Statistics, EarlyView.Abstract Quantile‐based classifiers can classify high‐dimensional observations by minimizing a discrepancy of an observation to a class based on suitable quantiles of the within‐class distributions, corresponding to a unique percentage for all variables.
Marco Berrettini +2 more
wiley +1 more source
A Family of Optimal Linear Functional-Repair Regenerating Storage Codes. [PDF]
Entropy (Basel)Hollmann HDL.
europepmc +1 more source
Doubly robust criterion for causal inference
Canadian Journal of Statistics, EarlyView.Abstract In causal inference, semiparametric estimation using propensity scores has rapidly developed in various directions. At the same time, although model selection is indispensable in statistical analysis, an information criterion for selecting the regression structure between the potential outcome and explanatory variables has not been well ...
Takamichi Baba, Yoshiyuki Ninomiya
wiley +1 more source
Abelian varieties of prescribed order over finite fields. [PDF]
Math Annvan Bommel R +4 more
europepmc +1 more source
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates
Canadian Journal of Statistics, EarlyView.Abstract In this article, we consider the imputation of missing responses in a longitudinal dataset via matrix completion. We propose a fixed‐effect, longitudinal, low‐rank model that incorporates both subject‐specific and time‐specific covariates. To solve the optimization problem, a two‐step optimization algorithm is proposed, which provides good ...
Zhaohan Sun, Yeying Zhu, Joel A. Dubin
wiley +1 more source
Residue class biases in unrestricted partitions, partitions into distinct parts, and overpartitions. [PDF]
Res Math SciSchlosser MJ, Zhou NH.
europepmc +1 more source