yusuke1997/dblp-id-title huggingface dataset:
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data
L-moments and TL-moments of the generalized lambda distribution
Modeling process asymmetries with Laplace moving average
Bayesian estimation of the tail index of a heavy tailed distribution under random censoring
Inference procedures for the Birnbaum-Saunders distribution and its generalizations
Stability of household income in European countries in the 1990s
Secure computation with horizontally partitioned data using adaptive regression splines
An alternative specification of generalized linear mixed models
Computation of marginal likelihoods with data-dependent support for latent variables
Influence analyses of nonlinear mixed-effects models
Decomposition of time series models in state-space form
Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies
Regularized nonsymmetric correspondence analysis
Variational Bayesian inference for the Latent Position Cluster Model for network data
GPU accelerated MCMC for modeling terrorist activity
Estimation and variable selection for proportional response data with partially linear single-index models
Accurate value-at-risk forecasting based on the normal-GARCH model
Advances in Mixture Models
Mean Empirical Likelihood
Heterogeneous demand responses to discrete price changes: an application to the purchase of lottery tickets
Bayesian multivariate nonlinear state space copula models
Aggregation and systematic sampling of periodic ARMA processes
Confounding in the estimation of mediation effects
A new classification tree method with interaction detection capability
Numerical integration in logistic-normal models
An evolutionary Monte Carlo algorithm for Bayesian block clustering of data matrices
Parameter estimation for multivariate diffusion systems
Long-term HIV dynamic models incorporating drug adherence and resistance to treatment for prediction of virological responses
Multilayer statistical classifiers
Bayesian copula selection
Parameter subset selection and multiple comparisons of Poisson rate parameters with misclassification
An algorithm for computing exact least-trimmed squares estimate of simple linear regression with constraints
A new variable selection approach using Random Forests
Approximating the distribution function of risk
Unbiased generalized quasi-regression
Assessment of diagnostic procedures in symmetrical nonlinear regression models
Sovereign credit ratings, market volatility, and financial gains
Model selection strategies for identifying most relevant covariates in homoscedastic linear models
Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes
General matching quantiles M-estimation
Weighted and robust archetypal analysis
An encompassing prior generalization of the Savage-Dickey density ratio
Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets
Two-sample tests for multivariate functional data with applications
Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables
Selecting the number of components in principal component analysis using cross-validation approximations
Multivariate probit analysis of binary familial data using stochastic representations
Discretization: Privacy-preserving data publishing for causal discovery
The bivariate Sinh-Elliptical distribution with applications to Birnbaum-Saunders distribution and associated regression and measurement error models
A latent space model for multilayer network data
Deviance information criterion (DIC) in Bayesian multiple QTL mapping
Interval estimation in a finite mixture model: Modeling P
k-mean alignment for curve clustering
Fast symmetric additive covariance smoothing
One-step robust estimation of fixed-effects panel data models
A hyper-Poisson regression model for overdispersed and underdispersed count data
Bayesian analysis of two-piece location-scale models under reference priors with partial information
A studentized permutation test for the non-parametric Behrens-Fisher problem
Parametric bootstrap under model mis-specification
A likelihood-based boosting algorithm for factor analysis models with binary data
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Robust and sparse estimators for linear regression models
Confidence interval construction for the Youden index based on partially validated series
A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments
Tree-structured smooth transition regression models
Estimating mutual information for feature selection in the presence of label noise
Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses
Network linear discriminant analysis
Vine copulas with asymmetric tail dependence and applications to financial return data
Latent growth curve modeling for longitudinal ordinal responses with applications
GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries
Improved tests of independence in singly-ordered two-way contingency tables
Supervised classification using probabilistic decision graphs
Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions
Continuous significant linear dimensionality: Geometric interpretation and statistical characteristics
Shrinkage-based regularization tests for high-dimensional data with application to gene set analysis
The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models
A variational Expectation-Maximization algorithm for temporal data clustering
Cutpoint selection for discretizing a continuous covariate for generalized estimating equations
Testing for unit roots in short panels allowing for a structural break
Discussion of different logistic models with functional data. Application to Systemic Lupus Erythematosus
Nonlinear methods for inverse statistical problems
Estimating extreme tail risk measures with generalized Pareto distribution
Nonparametric density estimation by exact leave-p-out cross-validation
Multivariate out-of-sample tests for Granger causality
LASSO-type penalization in the framework of generalized additive models for location, scale and shape
Latent class models for mixed variables with applications in Archaeometry
Editorial for the special issue on Time Series Analysis
Exact algorithms for computing p-values of statistics-linear combination of 3-nomial variables
Matrix exponential stochastic volatility with cross leverage
A comparison of algorithms for fitting the PARAFAC model
Simple resampling methods of approximating the distribution of LAD estimators for doubly censored regression models
Unobserved heterogeneity in panel time series models
Confidence intervals for quantiles using generalized lambda distributions
GMM estimation of partially linear additive spatial autoregressive model
Linking Tukey's legacy to financial risk measurement
Signal extraction for simulated games with a large number of players
From short to long memory: Aggregation and estimation
Sampling streaming data with replacement
Factorial and response surface designs robust to missing observations
Interval estimation for a Pareto distribution based on a doubly type II censored sample
Realized stochastic volatility with leverage and long memory
Efficiently sampling nested Archimedean copulas
Regular vines with strongly chordal pattern of (conditional) independence
Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures
Statistical procedures for the market graph construction
Empirical best linear unbiased prediction in misspecified and improved panel data models with an application to gasoline demand
Semi-supervised wavelet shrinkage
Estimator selection and combination in scalar-on-function regression
Influence diagnostics in linear and nonlinear mixed-effects models with censored data
A classical and Bayesian estimation of a k-components load-sharing parallel system
Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors
Two-group classification with high-dimensional correlated data: A factor model approach
A study of longitudinal trends in time-frequency transformations of EEG data during a learning experiment
Mediation analysis for high-dimensional mediators and outcomes with an application to multimodal imaging data
A data-driven line search rule for support recovery in high-dimensional data analysis
Robust fitting of mixture models using weighted complete estimating equations
Weighted empirical likelihood inference for dynamical correlations
Supersaturated designs: Are our results significant?
Robust accelerated failure time regression
Time stable empirical best predictors under a unit-level model
Benchmark for filter methods for feature selection in high-dimensional classification data
Detecting an interaction between treatment and a continuous covariate: A comparison of two approaches
A family of simultaneous confidence intervals for multinomial proportions
Unconditional exact tests for the difference of binomial probabilities - contrasted and compared
Interacting sequential Monte Carlo samplers for trans-dimensional simulation
Robust mixture regression model fitting by Laplace distribution
On data-driven choice of λ in nonparametric Gaussian regression via Propagation-Separation approach
Nonparametric mixture models with conditionally independent multivariate component densities
Special issue on Bayesian econometrics
Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances
Robust statistic for the one-way MANOVA
Testing for heteroskedasticity and spatial correlation in a random effects panel data model
Semiparametric regression analysis of multivariate longitudinal data with informative observation times
Early warning systems for sovereign debt crises: The role of heterogeneity
An efficient and distribution-free symmetry test for high-dimensional data based on energy statistics and random projections
ACOMCD: A multiple cluster detection algorithm based on the spatial scan statistic and ant colony optimization
Agglomerative and divisive hierarchical Bayesian clustering
Improved confidence regions in meta-analysis of diagnostic test accuracy
Bayesian D-optimal designs for the two parameter logistic mixed effects model
Ascent EM for fast and global solutions to finite mixtures: An application to curve-clustering of online auctions
A simple and successful shrinkage method for weighting estimators of treatment effects
Semiparametric empirical likelihood confidence intervals for AUC under a density ratio model
A semiparametric Bayesian approach to generalized partial linear mixed models for longitudinal data
Spatial scan statistics in loglinear models
Hierarchical false discovery rate control for high-dimensional survival analysis with interactions
Classification in segmented regression problems
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects
Sampling a two dimensional matrix
MM algorithms for distance covariance based sufficient dimension reduction and sufficient variable selection
Statistical inference on survival data in group-parallel clinical trials with treatment switching
A major improvement to the Network Algorithm for Fisher's Exact Test in 2×c
Comparison of MCMC algorithms for the estimation of Tobit model with non-normal error: The case of asymmetric Laplace distribution
Partial identification in the statistical matching problem
Clustering data with measurement errors
Optimal designs for order-of-addition experiments
Order determination for spiked-type models with a divergent number of spikes
Fast estimation for generalised multivariate joint models using an approximate EM algorithm
Objective Bayesian higher-order asymptotics in models with nuisance parameters
Nonparametric estimation of conditional cure models for heavy-tailed distributions and under insufficient follow-up
Special Issue on Biostatistics
Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
Shrinkage estimation for the difference between exponential guarantee time parameters
Efficient estimation in a partially specified nonignorable propensity score model
Nonparametric analysis of clustered data in diagnostic trials: Estimation problems in small sample sizes
On the scalability of ordered multi-class ROC analysis
Construction of experimental designs for estimating variance components
A new class of generalized log rank tests for interval-censored failure time data
Least squares estimation of a k-monotone density function
SURE-tuned tapering estimation of large covariance matrices
Semiparametric mixture: Continuous scale mixture approach
A geometric interpretation of Mallows' C p statistic and an alternative plot in variable selection
Mixtures of regressions with predictor-dependent mixing proportions
Approximate distribution of demerit statistic - A bounding approach
Statistical efficiency of curve fitting algorithms
A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes
Quantile regression for longitudinal data with a working correlation model
Outlier detection in networks with missing links
Comparison of numerical algorithms for bivariate sequential tests based on marginal criteria
Generalized Bayesian inference in a fuzzy context: From theory to a virtual reality application
Empirical characterization of random forest variable importance measures
Credit scoring analysis using a fuzzy probabilistic rough set model
Time series clustering based on forecast densities
Testing for two components in a switching regression model
Data-driven multistratum designs with the generalized Bayesian D-D criterion for highly uncertain models
Smoothed tensor quantile regression estimation for longitudinal data
Using principal components for estimating logistic regression with high-dimensional multicollinear data
Testing for random effects in panel data under cross sectional error correlation - A bootstrap approach to the Breusch Pagan test
Spatiotemporal and spatial threshold models for relating UV exposures and skin cancer in the central United States
Plug-in bandwidth selection in kernel hazard estimation from dependent data
Semiparametric regression analysis of panel count data allowing for within-subject correlation
A partial spline approach for semiparametric estimation of varying-coefficient partially linear models
Grouped variable screening for ultra-high dimensional data for linear model
Comparison of time series using subsampling
Non-inferiority test based on transformations for non-normal distributions
Discriminating between Weibull and generalized exponential distributions
Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations
Structural components in functional data
Bayesian analysis of two dependent 2×2 contingency tables
Forecasting correlations during the late-2000s financial crisis: The short-run component, the long-run component, and structural breaks
Epsilon half-normal model: Properties and inference
Computational algorithms for double bootstrap confidence intervals
Functional coefficient autoregressive models for vector time series
Ensemble classification based on generalized additive models
Exact computation of the halfspace depth
Cluster-based estimation for sufficient dimension reduction
Sparse estimation of high-dimensional correlation matrices
Absorption of shocks in nonlinear autoregressive models
Group subset selection for linear regression
Interval-valued time series models: Estimation based on order statistics exploring the Agriculture Marketing Service data
Hierarchical Bayesian modelling of spatial age-dependent mortality
Subgroup learning for multiple mixed-type outcomes with block-structured covariates
Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data
An efficient algorithm for sparse inverse covariance matrix estimation based on dual formulation
Parametric estimation of change-points for actual event data in recurrent events models
Maximum likelihood estimation and expectation-maximization algorithm for controlled branching processes
Classification trees for poverty mapping
Two-sample high dimensional mean test based on prepivots
Separability in the fixed part of multilevel models
Transformations, regression geometry and R
Varying-coefficient single-index model
Dual models for possibilistic regression analysis
Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields
Mixture transition distribution (MTD) modeling of heteroscedastic time series
James-Stein shrinkage to improve k-means cluster analysis
Bayesian quantile regression using random B-spline series prior
Unbiased regression trees for longitudinal and clustered data
Median-based estimation of dynamic panel models with fixed effects
Estimation of the volume under a ROC surface in presence of covariates
A decomposition of Moran's I for clustering detection
Accurate estimation with one order statistic
Modelling species abundance in a river by Negative Binomial hidden Markov models
Functional time transformation model with applications to digital health
A note on implementing the Durbin and Koopman simulation smoother
A fast algorithm for two-dimensional Kolmogorov-Smirnov two sample tests
Automating the analysis of variance of orthogonal designs
Alternative HAC covariance matrix estimators with improved finite sample properties
Goodness-of-fit tests based on the min-characteristic function
Partial projective resampling method for dimension reduction: With applications to partially linear models
Constructing and reading mosaicplots
Approximate conditional least squares estimation of a nonlinear state-space model via an unscented Kalman filter
Robust methods for inferring sparse network structures
Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle
Nonparametric feature screening
Optimal computation of 3-D similarity: Gauss-Newton vs. Gauss-Helmert
Clustering sparse binary data with hierarchical Bayesian Bernoulli mixture model
Model selection in binary and tobit quantile regression using the Gibbs sampler
Two-stage approaches to the analysis of occupancy data II. The heterogeneous model and conditional likelihood
Bootstrapping the likelihood ratio cointegration test in error correction models with unknown lag order
Empirical likelihood confidence regions for one- or two- samples with doubly censored data
Multiclass Laplacian support vector machine with functional analysis of variance decomposition
Exact and approximate algorithms for variable selection in linear discriminant analysis
Estimation of the Mann-Whitney effect in the two-sample problem under dependent censoring
On the performance of some non-parametric estimators of the conditional survival function with interval-censored data
Lasso ANOVA decompositions for matrix and tensor data
Smoothed rank correlation of the linear transformation regression model
Machine Learning and Robust Data Mining
High finite-sample efficiency and robustness based on distance-constrained maximum likelihood
Erratum to: "Testing for the generalized normal-Laplace distribution with applications" [Computational Statistics and Data Analysis 54 (2010) 3174-3180]
An empirical assessment of ranking accuracy in ranked set sampling
MultiLCIRT: An R package for multidimensional latent class item response models
Pair-perturbation influence functions of nongaussianity by projection pursuit
Bayesian analysis of semiparametric reproductive dispersion mixed-effects models
Heavy-tailed matrix-variate hidden Markov models
Selection of the number of clusters via the bootstrap method
Generalized theory of uncertainty (GTU) - principal concepts and ideas
A fast haplotype inference method for large population genotype data
A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions
Archetypoids: A new approach to define representative archetypal data
Modelling over and undercounts for design-based Monte Carlo studies in small area estimation: An application to the German register-assisted census
Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis
Error rates for multivariate outlier detection
Dynamic risk exposures in hedge funds
Bayesian variable selection for finite mixture model of linear regressions
Planning experiments when some specified interactions are investigated
Active learning in multiple-class classification problems via individualized binary models
The dimension-wise quadrature estimation of dynamic latent variable models for count data
Improved statistical inference for the two-parameter Birnbaum-Saunders distribution
Copula-based mixtures of regression models for multivariate response data
High dimensional classifiers in the imbalanced case
A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis
Randomized rejection procedure for the two-sample Kolmogorov-Smirnov statistic
Robust smoothing of gridded data in one and higher dimensions with missing values
Polymatching algorithm in observational studies with multiple treatment groups
Grouped spatial autoregressive model
Bayesian estimation of survival and capture probabilities using logit link and photoidentification data
Testing equality of risk ratios in multiple 2×2 tables with structural zero
The hybrid method of FSIR and FSAVE for functional effective dimension reduction
Variable selection for high-dimensional incomplete data
Location-adjusted Wald statistics for scalar parameters
Leverage, heavy-tails and correlated jumps in stochastic volatility models
Unbiased split selection for classification trees based on the Gini Index
Fusing data depth with complex networks: Community detection with prior information
Computation of projection regression depth and its induced median
Stochastic representation of FGM copulas using multivariate Bernoulli random variables
Simple Bayesian binary framework for discovering significant genes and classifying cancer diagnosis
Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
Symbolic analysis of indicator time series by quantitative sequence alignment
Inference on a stochastic two-compartment model in tumor growth
Regression models for binary time series with gaps
On selection of statistics for approximate Bayesian computing (or the method of simulated moments)
Quadratic approximation on SCAD penalized estimation
A particle swarm algorithm with broad applicability in shape-constrained estimation
Graph-based spatial segmentation of areal data
Using radial basis function networks and significance testing to select effective siRNA sequences
Analyzing dependent proportions in cluster randomized trials: Modeling inter-cluster correlation via copula function
Nonparametric estimation of quantile density function
Model-based clustering for longitudinal data
A flexible approximate likelihood ratio test for detecting differential expression in microarray data
Exploratory data analysis of interval-valued symbolic data with matrix visualization
Regression analysis for the proportional hazards model with parameter constraints under case-cohort design
Rank regression for analysis of clustered data: A natural induced smoothing approach
A study of variable selection using g-prior distribution with ridge parameter
Bayesian estimation of random effects models for multivariate responses of mixed data
Transmission Disequilibrium Test (TDT) for a pair of linked marker loci
A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED
A dynamic model of expected bond returns: A functional gradient descent approach