yusuke1997/dblp-id-title huggingface dataset:
Adaptive approximate Bayesian computation for complex models
A model-based ultrametric composite indicator for studying waste management in Italian municipalities
Bayesian subset selection for threshold autoregressive moving-average models
Smoothed quantile regression for censored residual life
An iterative algorithm to bound partial moments
Crisp and fuzzy k -means clustering algorithms for multivariate functional data
Using visual statistical inference to better understand random class separations in high dimension, low sample size data
Bayesian spatial modeling of genetic population structure
Weighted robust hybrid partial least squares regression forest
Saddlepoint approximations to P-values for comparison of density estimates
Robust estimation and moment selection in dynamic fixed-effects panel data models
Computation of reference Bayesian inference for variance components in longitudinal studies
An adaptive method for bandwidth selection in circular kernel density estimation
Multiple-response logistic regression modeling with application to an analysis of cirrhosis liver disease data
Lag weighted lasso for time series model
An omnibus noise filter
Visualizing abnormal climate changes in Central America from 1995 to 2000
Community engagement and subgroup meta-knowledge: some factors in the soul of a community
Analysing kinematic data from recreational runners using functional data analysis
Monte Carlo maximum likelihood circle fitting using circular density functions
Boxplot for circular variables
Modeling heterogeneity: a praise for varying-coefficient models in causal analysis
A Statistical Data Representation System on the Web
Partially functional linear expectile regression model with missing observations
First exit and Dirichlet problem for the nonisotropic tempered α-stable processes
A filtered polynomial approach to density estimation
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography
Random sampling of contingency tables via probabilistic divide-and-conquer
Proceedings of Reisensburg 2014-2015
Semi-parametric Bayesian estimation of mixed-effects models using the multivariate skew-normal distribution
Shrinkage estimation in system regression model
The 2006 Data Expo of the American Statistical Association
Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students
A statistical framework for analyzing housing quality: a case study of New York City
Comparison of five estimation methods for the parameters of the Johnson unbounded distribution using simulated and real-data samples
Bayesian model-based clustering for longitudinal ordinal data
An efficient algorithm for joint feature screening in ultrahigh-dimensional Cox's model
Additive models with autoregressive symmetric errors based on penalized regression splines
Computing expectations and marginal likelihoods for permutations
The shooting S-estimator for robust regression
Visualising concordance
Efficient computation of generalized median estimators
Two generalized nonparametric methods for estimating like densities
Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features
Variable selection after screening: with or without data splitting?
On the zero-modified Poisson-Shanker regression model and its application to fetal deaths notification data
A test of financial time-series data to discriminate among lognormal, Gaussian and square-root random walks
A fast imputation algorithm in quantile regression
Conditional sufficient variable selection with prior information
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models
StatDataML : An XML Format for Statistical Data
Prospective space-time surveillance with cumulative surfaces for geographical identification of the emerging cluster
Numerical method for estimating multivariate conditional distributions
A single-index model procedure for interpolation intervals in time series
Estimation of level set trees using adaptive partitions
Bayesian estimation of the half-normal regression model with deterministic frontier
Statistical inference under adaptive progressive censoring scheme
Improved approximate Bayesian computation methods via empirical likelihood
Visualizing non-hierarchical and hierarchical cluster analyses with clustergrams
PLS and dimension reduction for classification
Individualized treatment effect estimation with compromised adversarial nets
Iterative weighted LAD estimation with homoskedasticity testing using the Gini concentration index
A highly efficient L-estimator for the location parameter of the Cauchy distribution
Genetic algorithm approach with an adaptive search space based on EM algorithm in two-component mixture Weibull parameter estimation
A homoscedasticity test for the accelerated failure time model
A best linear threshold classification with scale mixture of skew normal populations
Four algorithms to construct a sparse kriging kernel for dimensionality reduction
High-dimensional variable screening and bias in subsequent inference, with an empirical comparison
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
One-sided cross-validation for nonsmooth density functions
Detecting multiple outliers in linear regression using a cluster method combined with graphical visualization
Predictive modeling of maximum injury severity and potential economic cost in a car accident based on the General Estimates System data
The role of the isotonizing algorithm in Stein's covariance matrix estimator
Obtaining a threshold for the stewart index and its extension to ridge regression
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations
Classification tree algorithm for grouped variables
Genetic algorithms for the selection of smoothing parameters in additive models
Integrated likelihood computation methods
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions
Fast algorithms for the calculation of Kendall's τ
Introducing libeemd: a program package for performing the ensemble empirical mode decomposition
A spatial extension of weather forecasts
JavaStatSoft: design patterns and features
The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling
Fitting concentric elliptical shapes under general model
Graph_sampler : a simple tool for fully Bayesian analyses of DAG-models
An adaptive importance sampling for locally stable point processes
A note on studentized confidence intervals for the change-point
Estimating the number of clusters via a corrected clustering instability
A test for a parametric form of the volatility in second-order diffusion models
Estimation of parameters in multivariate wrapped models for data on a p -torus
Portfolio Optimization Under Credit Risk
High-dimensional data analysis and visualisation
Order statistics in large arrays (OSILA): a simple randomised algorithm for a fast and efficient attainment of the order statistics in very large arrays
Principal Curves of Oriented Points: theoretical and computational improvements
A VIF-based optimization model to alleviate collinearity problems in multiple linear regression
The performance of latent growth curve model-based structural equation model trees to uncover population heterogeneity in growth trajectories
Data science approach to simulating the FIFA World Cup Qatar 2022 at a website in tribute to Maradona
Modelling bilateral intra-industry trade indexes with panel data: a semiparametric approach
A memorial for the late Professor Friedrich Leisch
Tackling Boundary Effects in Nonparametric Estimation of Intra-Day Liquidity Measures
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure
Speeding up the convergence of the alternating least squares algorithm using vector ε acceleration and restarting for nonlinear principal component analysis
A robust knockoff filter for sparse regression analysis of microbiome compositional data
Estimation of multivariate 3rd moment for high-dimensional data and its application for testing multivariate normality
Reproducible statistical analysis with multiple languages
Large-scale dependent multiple testing via hidden semi-Markov models
A bootstrap-based aggregate classifier for model-based clustering
Shape mixtures of skew- t -normal distributions: characterizations and estimation
A new R package for actuarial survival models
The uncertainties about the relationships risk-return-volatility in the Spanish stock market
Moment estimators for the two-parameter M -Wright distribution
Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints
Voting based optimized deep ensemble model: an effective visual and textual fusion for recognition of face emotions
Cumulative curves for exploration of demographic data: a case study of Northwest England
Proposal adaptation in simulated annealing for continuous optimization problems
Computationally efficient learning of multivariate t mixture models with missing information
Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula
Joint records from two exponential populations and associated inference
Pretest and shrinkage estimators for log-normal means
Inferring Boolean functions via higher-order correlations
On the effectiveness of partially deterministic Bayesian neural networks
ANCOVA: a heteroscedastic global test when there is curvature and two covariates
Ensemble Kalman filter with precision localization
Determining cutoff values of prognostic factors in survival data with competing risks
Gauss-Hermite Quadrature Approximation for Estimation in Generalised Linear Mixed Models
Comparing scale parameters in several gamma distributions with known shapes
SVG+Ajax+R: a new framework for WebGIS
An efficient shrinkage bootstrap bias estimator for smooth functions of sample means
Analysis of estimating the Bayes rule for Gaussian mixture models with a specified missing-data mechanism
Hidden Markov model with missing emissions
Two-sample Behrens-Fisher problems for high-dimensional data: a normal reference F-type test
Analysis for left-truncated and right-censored competing risks data from marshall-olkin bivariate generalized lifetime family
Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization
Survival modeling of goal arrival times in English premier league
The unit-improved second-degree Lindley distribution: inference and regression modeling
KmL: k-means for longitudinal data
A new nonparametric approach for multiplicity control: Optimal Subset procedures
A characterization for truncated cauchy random variables with nonzero skewness parameter
Derivation of a State-Space Model by Functional Data Analysis
Enhancing parameter estimation in finite mixture of generalized normal distributions
Generalised Bayesian sample copula of order m
Group sparse sufficient dimension reduction: a model-free group variable selection method
Linear discriminant analysis for interval data
A fast divide-and-conquer strategy for single-index model with massive data
Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data
Recursions on the marginals and exact computation of the normalizing constant for Gibbs processes
Introduction to the special issue on interactive graphical data analysis: What is interaction ?
Geometrically designed, variable knot regression splines
"A SAS Companion for Nonparametric Statistics" by Scott J. Richter and James J. Higgins
Consistent Lyapunov exponent Estimation for one-dimensional dynamical systems
Polynomial parameter estimations of close to Gaussian random variables
Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies
Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models
Some aspects of nonlinear dimensionality reduction
A recursive formula for the Kaplan-Meier estimator with mean constraints and its application to empirical likelihood
The role of functional data analysis for instantaneous frequency estimation
Graphs as navigational infrastructure for high dimensional data spaces
Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights
Exploratory analysis of benchmark experiments an interactive approach
The 2016 Data Challenge of the American Statistical Association
Sparse principal component analysis subject to prespecified cardinality of loadings
Empirical likelihood change point detection in quantile regression models
Erratum to: Bootstrap prediction intervals in beta regressions
Golf strategy optimization and the "Drive for show, putt for dough" adage
Analysing storm data using highly interactive tools
Weighted high dimensional data reduction of finite element features: an application on high pressure of an abdominal aortic aneurysm
DAVIS: A Java-based Data Visualization System
Preliminary tests when comparing means
Bandwidth selection for local linear regression: A simulation study
A simple method for combining estimates to improve the overall error rates in classification
The log F : A Distribution for All Seasons
Nonlinear regression modeling and detecting change points via the relevance vector machine
Sparse distance metric learning
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization
Quality-aware visual data analysis
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models
Improving upon the effective sample size based on Godambe information for block likelihood inference
On matching confidence intervals and tests for some discrete distributions: methodological and computational aspects
Eras of dominance: identifying strong and weak periods in professional tennis
A powerful wild bootstrap diagnosis of panel unit roots under linear trends and time-varying volatility
Multinomial event naive Bayesian modeling for SAGE data classification
On the flexibility of the design of multiple try Metropolis schemes
Two-sample mean vector projection test in high-dimensional data
Estimating the Locations of Multiple Change Points in the Mean
Exploring the posterior of a hierarchical IRT model for item effects
Accurate higher-order likelihood inference on (P(Y<X))
Optimal design generation: an approach based on discovery probability
Deep learning-based survival analysis with copula-based activation functions for multivariate response prediction
A random model approach for the LASSO
A partitioned quasi-likelihood for distributed statistical inference
Preliminary test estimation in system regression models in view of asymmetry
Generalized joint Procrustes analysis
Moment equations and Hermite expansion for nonlinear stochastic differential equations with application to stock price models
Two Cross Validation Criteria for SIR α and PSIR α methods in view of prediction
Robustness of Bayesian D-optimal design for the logistic mixed model against misspecification of autocorrelation
Pseudo-Bayesian D-optimal designs for longitudinal Poisson mixed models with correlated errors
Novel matrix hit and run for sampling polytopes and its GPU implementation
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis
Linked treemap: a 3D treemap-nodelink layout for visualizing hierarchical structures
On maximum likelihood estimation of a Pareto mixture
Can we have better semantics for R's attach mechanism?
Bayesian hypothesis testing for equality of high-dimensional means using cluster subspaces
Estimating the parameters of an ellipse when angular differences are known
A pruned recursive solution to the multiple change point problem
Association rule mining through adaptive parameter control in particle swarm optimization
Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework
Efficient computation of multivariate empirical distribution functions at the observed values
Overlapping coefficient in network-based semi-supervised clustering
Random Subspace Method for high-dimensional regression with the R package regRSM
Weighted Derivative Estimation of Quantal Response Models: Simulations and Applications to Choice of Truck Freight Carrier
Specification tests for the response distribution in generalized linear models
Exploring local explanations of nonlinear models using animated linear projections
Reliability and efficiency of algorithms for computing the significance of the Mann-Whitney test
An extension of the K -means algorithm to clustering skewed data
Convex combinations of long memory estimates from different sampling rates
Multivariate Local Fitting with General Basis Functions
Generation of normal distributions revisited
Model selection via adaptive shrinkage with t priors
Measuring spillovers and connectedness in gretl
An efficient method for constructing uniform designs with large size
Saddlepoint (p)-values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design
A semi-parametric approach to feature selection in high-dimensional linear regression models
Computations for the familial analysis of binary traits
Local dimensionality reduction
hhsmm: an R package for hidden hybrid Markov/semi-Markov models
The two-sample problem via relative belief ratio
ClustGeo: an R package for hierarchical clustering with spatial constraints
Explorative and dynamic visualization of data in virtual reality
Nonparametric estimation of expected shortfall for α-mixing financial losses
A latent variable approach for modeling recall-based time-to-event data with Weibull distribution
Robust sparse Bayesian infinite factor models
Bayesian probabilistic extensions of a deterministic classification model
Variational approximation for importance sampling
Interval estimation of (P(X<Y)) in ranked set sampling
Finite mixtures of skew Laplace normal distributions with random skewness
Selection between proportional and stratified hazards models based on expected log-likelihood
Computational aspects of statistical intervals based on two Type-II censored samples
Variable selection in multivariate methods using global score estimation
Statistical application of barycentric rational interpolants: an alternative to splines
Maximum likelihood estimation of multinomial probit factor analysis models for multivariate t -distribution
Efficient computation of tight approximations to Chernoff bounds
Learning from high dimensional data based on weighted feature importance in decision tree ensembles
Doubly time-dependent Hawkes process and applications in failure sequence analysis
Goodness-of-fit testing of survival models in the presence of Type-II right censoring
Variable selection for multivariate functional data via conditional correlation learning
Regularized estimation for right-censored zero-inflated poisson regression: methods and applications to health data
Bayesian variable selection using Knockoffs with applications to genomics
Outliers - finding and classifying which genuine and which spurious
The odd log-logistic Lindley-G family of distributions: properties, Bayesian and non-Bayesian estimation with applications
D. Hand: Information generation (2007): how data rule our world
Linear models for multivariate repeated measures data with block exchangeable covariance structure
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
Computational issues in parameter estimation for stationary hidden Markov models
Model-based INAR bootstrap for forecasting INAR(p) models
Pair programming with ChatGPT for sampling and estimation of copulas
Detection and estimation of additive outliers in seasonal time series
Testing for cointegration using induced-order statistics
Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models
Implementation of Lévy CARMA model in Yuima package
Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMT
A comparison of optimization solvers for log binomial regression including conic programming
Bayesian approach to analysing longitudinal bivariate binary data with informative dropout
Moving dynamic principal component analysis for non-stationary multivariate time series
A modified Canny edge detector based on weighted least squares
The Use of a Distance Measure in Regularised Discriminant Analysis
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy
Linguistic Rule Extraction From a Simplified RBF Neural Network
Bandwidth selection for the local polynomial estimator under dependence: A simulation study
A comparison of approaches for valid variogram achievement
A simulation study for a class of central composite designs with nested sub-experiment
Modified minimum distance estimators: definition, properties and applications
QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models
Functional outlier detection with robust functional principal component analysis
Computational advances for spatio-temporal multivariate environmental models
On the identification of large multilinear systems
Smoothing and mixed models
Computation of exact confidence limits from discrete data
Bandwidth matrix selectors for kernel regression
A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of I s ( x )
Characterizations and generalizations of the negative binomial distribution
An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs
Simulations of full multivariate Tweedie with flexible dependence structure
Estimation and inference of high-dimensional partially linear spatial autoregressive models with linear constraints
Implementation of a goodness-of-fit test through Khmaladze martingale transformation
A simple and efficient algorithm for fused lasso signal approximator with convex loss function
Testing linearity in semi-parametric functional data analysis
Code analysis and parallelizing vector operations in R
An overview to modelling functional data
Monitoring time dependent image processes for detecting shifts in pixel intensities
PLS classification of functional data
Penalized multinomial mixture logit model
Partitions of Pearson's Chi-square statistic for frequency tables: a comprehensive account
Kernel-Diffeomorphism Bayesian Bootstrap Filter to reduce speckle noise on SAR images
Classical versus Bayesian risks in acceptance sampling: a sensitivity analysis
Bayesian spectral density estimation using P-splines with quantile-based knot placement
Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data
A precise and efficient exceedance-set algorithm for detecting environmental extremes
Flexible regression modeling for censored data based on mixtures of student-t distributions
Maximum likelihood estimation based on ranked set sampling designs for two extensions of the Lindley distribution with uncensored and right-censored data
Spectral graph features for the classification of graphs and graph sequences
Lazy lasso for local regression
Penalized function-on-function regression
Computing Relations between Moments and Cumulants
Quantile regression of right-censored length-biased data using the Buckley-James-type method
Bayesian multiple change-point estimation with annealing stochastic approximation Monte Carlo