Asta-Advances in Statistical Analysis

Papers
(The median citation count of Asta-Advances in Statistical Analysis is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression22
Random coefficients integer-valued threshold autoregressive processes driven by logistic regression18
Efficient estimation of cumulative distribution function using moving extreme ranked set sampling with application to reliability17
Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach15
On the role of data, statistics and decisions in a pandemic14
A new class of integer-valued GARCH models for time series of bounded counts with extra-binomial variation13
Regional now- and forecasting for data reported with delay: toward surveillance of COVID-19 infections12
The exact equivalence of distance and kernel methods in hypothesis testing11
Visualizing the decision rules behind the ROC curves: understanding the classification process10
A copula-based multivariate hidden Markov model for modelling momentum in football9
Quarterback evaluation in the national football league using tracking data8
Local spatial log-Gaussian Cox processes for seismic data8
Biomarker assessment in ROC curve analysis using the length of the curve as an index of diagnostic accuracy: the binormal model framework7
On Poisson-exponential-Tweedie models for ultra-overdispersed count data7
Emergence of the wrapped Cauchy distribution in mixed directional data6
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions6
Heteroscedastic nonlinear regression models using asymmetric and heavy tailed two-piece distributions6
Continuous-time state-space modelling of the hot hand in basketball5
On variance estimation under shifts in the mean5
A new mixed first-order integer-valued autoregressive process with Poisson innovations5
A non-homogeneous Poisson process geostatistical model with spatial deformation5
Cyber risk ordering with rank-based statistical models5
Hierarchical clustering and matrix completion for the reconstruction of world input–output tables4
Count outcome meta-analysis for comparing treatments by fusing mixed data sources: comparing interventions using across report information4
Diagnostic checking of multiple imputation models4
Discussion on On the role of data, statistics and decisions in a pandemic4
The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models4
Component-based structural equation modeling for the assessment of psycho-social aspects and performance of athletes4
The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons4
Improved testing inferences for beta regressions with parametric mean link function4
Scoring predictions at extreme quantiles4
Comment on: On the role of data, statistics and decisions in a pandemic statistics for climate protection and health—dare (more) progress!4
Comment “On the role of data, statistics and decisions in a pandemic” by Jahn et al.3
Confidence regions and other tools for an extension of correspondence analysis based on cumulative frequencies3
Decompositions by sources and by subpopulations of the Pietra index: two applications to professional football teams in Italy3
Variance formulas for estimated mean response and predicted response with external intervention based on the back-door criterion in linear structural equation models3
Estimation of final standings in football competitions with a premature ending: the case of COVID-193
Some measures of kurtosis and their inference on large datasets3
A harmonically weighted filter for cyclical long memory processes3
Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion3
Unified approach for regression models with nonmonotone missing at random data3
Introducing LASSO-type penalisation to generalised joint regression modelling for count data3
Optimal classification scores based on multivariate marker transformations3
A spatial randomness test based on the box-counting dimension2
OLS Estimation of Markov switching VAR models: asymptotics and application to energy use2
Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models2
A smooth dynamic network model for patent collaboration data2
Correction to: Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach2
Multiple imputation of ordinal missing not at random data2
Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model2
Small area estimation of socioeconomic indicators for sampled and unsampled domains2
Predicting the popularity of tweets using internal and external knowledge: an empirical Bayes type approach2
Simultaneous inference for functional data in sports biomechanics2
Is EM really necessary here? Examples where it seems simpler not to use EM2
Describing a landscape we are yet discovering2
Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players2
Density estimation via Bayesian inference engines2
Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods2
Ranked sparsity: a cogent regularization framework for selecting and estimating feature interactions and polynomials1
Local influence analysis for GMM estimation1
Uniformly implementable small sample integrated likelihood ratio test for one-way and two-way ANOVA under heteroscedasticity and normality1
Positive-definite modification of a covariance matrix by minimizing the matrix $$\ell_{\infty}$$ norm with applications to portfolio optimization1
A spatial semiparametric M-quantile regression for hedonic price modelling1
Bayesian ridge regression for survival data based on a vine copula-based prior1
Variable selection and collinearity processing for multivariate data via row-elastic-net regularization1
Authors’ response: on the role of data, statistics and decisions in a pandemic1
Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables1
Optimal designs for homoscedastic functional polynomial measurement error models1
Left-truncated health insurance claims data: theoretical review and empirical application1
Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver’s four factors on the probability of winning a basketball game1
Goodness of fit test for general linear model with nonignorable missing on response variable1
Simultaneous monitoring of origin and scale in left-bounded processes via depth1
Contextual movement models based on normalizing flows1
Control charts for measurement error models1
Improving the causal treatment effect estimation with propensity scores by the bootstrap1
Editorial special issue: Statistics in sports1
GPS data on tourists: a spatial analysis on road networks1
On the Gaussian representation of the Riesz probability distribution on symmetric matrices1
Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods1
On dealing with the unknown population minimum in parametric inference1
Debiasing SHAP scores in random forests1
Group sparse recovery via group square-root elastic net and the iterative multivariate thresholding-based algorithm1
Action rate models for predicting actions in soccer1
Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation1
Conditional feature importance for mixed data1
Correction to: Local spatial log-Gaussian Cox processes for seismic data1
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