Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package

2024-9-14

Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting

2024-9-12

Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression

2024-9-12

A precise and efficient exceedance-set algorithm for detecting environmental extremes

2024-9-6

Change point estimation for Gaussian time series data with copula-based Markov chain models

2024-9-5

INet for network integration

2024-9-4

Generalized linear model based on latent factors and supervised components

2024-9-2

SpICE: an interpretable method for spatial data

2024-8-26

Performance of evaluation metrics for classification in imbalanced data

2024-8-24

A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables

2024-8-17

A novel nonconvex, smooth-at-origin penalty for statistical learning

2024-8-7

Quantinar: a blockchain peer-to-peer ecosystem for modern data analytics

2024-8-6

BARMPy: Bayesian additive regression models Python package

2024-8-4

Robust confidence intervals for meta-regression with interaction effects

2024-8-2

Ordinal causal discovery based on Markov blankets

2024-7-30

Semiparametric regression analysis of panel binary data with an informative observation process

2024-7-29

A Metropolis–Hastings Robbins–Monro algorithm via variational inference for estimating the multidimensional graded response model: a calculationally efficient estimation scheme to deal with complex test structures

2024-7-29

Profile transformations for reciprocal averaging and singular value decomposition

2024-7-26

Positive time series regression models: theoretical and computational aspects

2024-7-24

The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data

2024-7-18

Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging

2024-7-18

Computational econometrics with gretl

2024-7-13

Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors

2024-7-11

Empirical likelihood change point detection in quantile regression models

2024-7-10

Robust variable selection for additive coefficient models

2024-7-5

Variable selection and structure identification for additive models with longitudinal data

2024-6-26

Multiple imputation with competing risk outcomes

2024-6-26

Ranking handball teams from statistical strength estimation

2024-6-24

Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test

2024-6-23

Trend of high dimensional time series estimation using low-rank matrix factorization: heuristics and numerical experiments via the TrendTM package

2024-6-20

Some aspects of nonlinear dimensionality reduction

2024-6-16

A time-varying coefficient rate model with intermittently observed covariates for recurrent event data

2024-6-15

Monitoring mean of INAR(1) process with discrete mixture exponential innovations

2024-6-13

Leveraging single-case results to Bayesian hierarchical modelling

2024-6-9

A new metric for pitch control based on an intuitive motion model

2024-6-6

High dimensional T-type Estimator for robust covariance matrix estimation with applications to elliptical factor models

2024-6-6

Double truncation method for controlling local false discovery rate in case of spiky null

2024-6-5

Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data

2024-6-3

Projection predictive variable selection for discrete response families with finite support

2024-5-29

Expectile regression averaging method for probabilistic forecasting of electricity prices

2024-5-29

Semiparametric analysis of competing risks data with covariate measurement error

2024-5-22

Advancements in Rényi entropy and divergence estimation for model assessment

2024-5-21

FPDclustering: a comprehensive R package for probabilistic distance clustering based methods

2024-5-15

Efficient regression analyses with zero-augmented models based on ranking

2024-5-14

Exact and approximate computation of the scatter halfspace depth

2024-5-9

A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures

2024-5-8

Mixture models for simultaneous classification and reduction of three-way data

2024-5-6

Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data

2024-5-4

R-estimation in linear models: algorithms, complexity, challenges

2024-5-3

Two-stage regression spline modeling based on local polynomial kernel regression

2024-5-1