It uses synthetic data drawn from the simulation model to approximate the posterior distribution.
Computation
A bottleneck of sufficient dimension reduction (SDR) in the modern era is that, among numerous methods, only the sliced inverse regression (SIR) is generally applicable under the high-dimensional settings.
Methodology
We present a computational framework for piecewise constant functions (PCFs) and use this for several types of computations that are useful in statistics, e. g., averages, similarity matrices, and so on.
Computation Mathematical Software Algebraic Topology 62-04 (Primary) 62R40 (Secondary) G.3; G.4
We have selected data that reveal the shortcomings of classical analyses to emphasize the advantage our method can provide when a latent grouping structure is present.
Methodology
Multiple imputation (MI) is widely used to handle missing data in such studies.
Methodology Applications
The proposed method would give a useful guidance to address publication bias in meta-analysis of sparse data.
Methodology
We generalize 2-Wasserstein dependence coefficients to measure dependence between a finite number of random vectors.
Methodology Statistics Theory Statistics Theory
Change point analysis is concerned with detecting and locating structure breaks in the underlying model of a sequence of observations ordered by time, space or other variables.
Methodology Computation
Here, we consider a supervised problem, where labeled samples drawn from both the reference distribution and the contamination distribution are available at training time.
Methodology
This paper proposes a novel propensity score weighting analysis.
Methodology