yusuke1997/dblp-id-title huggingface dataset:
On the accuracy of statistical procedures in Microsoft Excel 2007
A multi-row deletion diagnostic for influential observations in small-sample regressions
On multivariate order statistics. Application to ranked set sampling
Sample sizes for improved binomial confidence intervals
On a quadratic eigenproblem occurring in regularized total least squares
Measuring multivariate regression association via spatial sign
On unit root testing with smooth transitions
A modified Gram-Schmidt-based downdating technique for ULV decompositions with applications to recursive TLS problems
Trend vector models for the analysis of change in continuous time for multiple groups
A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data
Bayesian analysis of longitudinal data via empirical likelihood
Special issue on small area estimation
Identify LD blocks based on hierarchical spatial data
Sample distribution function based goodness-of-fit test for complex surveys
The missing censoring indicator model and the smoothed bootstrap
BOPA: A Bayesian hierarchical model for outlier expression detection
Gaussian graphical modeling for spectrometric data analysis
Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates
An adaptive algorithm for least squares piecewise monotonic data fitting
Signal extraction and filtering by linear semiparametric methods
A profile-based approach to parametric sensitivity in multiresponse regression models
Categorical CVA biplots
Web-based statistical tools for the analysis and design of clinical trials that incorporate historical controls
High-dimensional data visualisation: The textile plot
Semisupervised learning from dissimilarity data
A stochastic process representation for time warping functions
Latent association graph inference for binary transaction data
Learning mixture models via component-wise parameter smoothing
Sparse pathway-based prediction models for high-throughput molecular data
Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models
A maximum likelihood approximation method for Dirichlet's parameter estimation
Parsimonious skew mixture models for model-based clustering and classification
Long memory with stochastic variance model: A recursive analysis for US inflation
Erratum to: "Confidence intervals for quantiles using generalized lambda distributions" [Computational Statistics & Data Analysis 53 (2009) 3324-3333]
Approximating the tail of the Anderson-Darling distribution
Pairwise dynamic time warping for event data
The power of weather
Model-based estimation of the attributable risk: A loglinear approach
Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models
Robust distributed modal regression for massive data
Comparison of several means: A fiducial based approach
Power analysis and type I and type II error rates of Bayesian nonparametric two-sample tests for location-shifts based on the Bayes factor under Cauchy priors
A flexible approach to Bayesian multiple curve fitting
Covariate unit root tests with good size and power
Sequential estimation of mixtures of structured autoregressive models
Full bandwidth matrix selectors for gradient kernel density estimate
Estimation in covariate-adjusted regression
Choosing initial values for the EM algorithm for finite mixtures
Comparison of aligned Friedman rank and parametric methods for testing interactions in split-plot designs
Discovering patterns in categorical time series using IFS
Structural model of credit migration
Longitudinal data model selection
Pairwise likelihood estimation for factor analysis models with ordinal data
Robust learning from bites for data mining
Surveillance of the covariance matrix based on the properties of the singular Wishart distribution
Differential evolution and particle swarm optimisation in partitional clustering
Multiply robust estimation of causal effects using linked data
Linear discrimination for three-level multivariate data with a separable additive mean vector and a doubly exchangeable covariance structure
A novel variational Bayesian method for variable selection in logistic regression models
Bayesian sigmoid shrinkage with improper variance priors and an application to wavelet denoising
Score tests for zero-inflation and overdispersion in two-level count data
The radial wavelet frame density estimator
A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data
Continuum redundancy-PLS regression: A simple continuum approach
Some properties of multivariate INAR(1) processes
An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model
Maximum likelihood computation based on the Fisher scoring and Gauss-Newton quadratic approximations
Sliced inverse regression in reference curves estimation
A new algorithm for estimating the parameters and their asymptotic covariance in correlation and association models
Identification of differentially expressed spatial clusters using humoral response microarray data
A fast algorithm for robust constrained clustering
Pairwise likelihood inference for ordinal categorical time series
Robust heart rate variability analysis by generalized entropy minimization
On the existence of the nonlinear weighted least squares estimate for a three-parameter Weibull distribution
Smooth functions and local extreme values
Uncertainty propagation: Avoiding the expensive sampling process for real-time image-based measurements
On certain A-optimal chemical balance weighing designs
A comparison between Markov approximations and other methods for large spatial data sets
Repeated measures analysis for functional data
Conditional copulas, association measures and their applications
A Bayesian approach to estimating animal density from binary acoustic transects
Powered embarrassing parallel MCMC sampling in Bayesian inference, a weighted average intuition
Factor analysis parameter estimation from incomplete data
Hidden hybrid Markov/semi-Markov chains
On two-stage Monte Carlo tests of composite hypotheses
How useful are approximations to mean and variance of the index of dissimilarity?
Model-free latent confounder-adjusted feature selection with FDR control
Homogeneity tests for several Poisson populations
Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models
Modal posterior clustering motivated by Hopfield's network
Copula Particle Filters
Missing link survival analysis with applications to available pandemic data
MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness
Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering
Multivariate time series modeling and classification via hierarchical VAR mixtures
Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines
Motor unit number estimation via sequential Monte Carlo
Birnbaum-Saunders nonlinear regression models
Unimodal regression via prefix isotonic regression
Pseudo R-squared measures for Poisson regression models with over- or underdispersion
Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients
Estimation and testing for time-varying quantile single-index models with longitudinal data
Sparse CCA using a Lasso with positivity constraints
Inference via kernel smoothing of bootstrap P values
Surrogate space based dimension reduction for nonignorable nonresponse
A wavelet-based approach to test for financial market contagion
Standard error estimates in hierarchical generalized linear models
Online kernel sliced inverse regression
Regularization of the location model in discrimination with mixed discrete and continuous variables
Estimation of SEM with GARCH errors
Fitting bivariate cumulative returns with copulas
Robust tests for linear regression models based on τ-estimates
Model-based sparse coding beyond Gaussian independent model
A numerical investigation of the accuracy of parametric bootstrap for discrete data
Density estimation for data with rounding errors
Polya tree Monte Carlo method
Importance partitioning in micro-aggregation
Modelling the mean of a doubly stochastic Poisson process by functional data analysis
Simulation-based designs for multiperiod control
Estimating reliability in proportional odds ratio models
The use of plasmodes as a supplement to simulations: A simple example evaluating individual admixture estimation methodologies
Normal variance mixtures: Distribution, density and parameter estimation
A generalized multiple-try version of the Reversible Jump algorithm
Non-parametric tests for cross-dependence based on multivariate extensions of ordinal patterns
Inference for variograms
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation
High-dimensional response growth curve modeling for longitudinal neuroimaging analysis
A Bayesian hybrid Huberized support vector machine and its applications in high-dimensional medical data
Special issue on Design of Experiments
The Zipf-Poisson-stopped-sum distribution with an application for modeling the degree sequence of social networks
Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials with random slopes
Asymptotically efficient estimation of the conditional expected shortfall
Common sampling orders of regular vines with application to model selection
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms
Time series of count data: modeling, estimation and diagnostics
A subspace method for large-scale trace ratio problems
Statistical analysis of neuromuscular blockade response: contributions to an automatic controller calibration
A flexible extreme value mixture model
Bayesian analysis of spatial generalized linear mixed models with Laplace moving average random fields
A bootstrap test for symmetry based on ranked set samples
Spline regression with automatic knot selection
An ExPosition of multivariate analysis with the singular value decomposition in R
Unsupervised learning of mixture regression models for longitudinal data
A variance shift model for detection of outliers in the linear mixed model
A comparative study of tests for the difference of two Poisson means
On tests of homogeneity based on minimum phi-divergence estimator with constraints
A Markov basis for conditional test of common diagonal effect in quasi-independence model for square contingency tables
Recent progress in the nonparametric estimation of monotone curves - With applications to bioassay and environmental risk assessment
Directional outlyingness for multivariate functional data
Sample-specific cooperative learning integrating heterogeneous radiomics and pathomics data
Forecasting inflation and GDP growth using heuristic optimisation of information criteria and variable reduction methods
ICS for multivariate outlier detection with application to quality control
Explicit-duration Hidden Markov Models for quantum state estimation
Determination of embedded distributions
Modeling strategies in longitudinal data analysis: Covariate, variance function and correlation structure selection
Robust heavy-tailed versions of generalized linear models with applications in actuarial science
A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions
Regularized joint estimation of related vector autoregressive models
A new non-parametric estimator for instant system availability
Canonical STATIS: Biplot analysis of multi-table group structured data based on STATIS-ACT methodology
Accelerating the quadratic lower-bound algorithm via optimizing the shrinkage parameter
Ensemble sufficient dimension folding methods for analyzing matrix-valued data
Exact tests of the stability of the Phillips curve: the Canadian case
General balance, large data sets and extensions to unbalanced treatment structures
Denoising over networks with applications to partially observed epidemics
Classification of type I-censored bivariate data
Ordered inference using observed confidence levels
Testing structural change in partially linear single-index models with error-prone linear covariates
Bayesian estimation based on trimmed samples from Pareto populations
Overfitting Bayesian mixtures of factor analyzers with an unknown number of components
A heavy-tailed empirical Bayes method for replicated microarray data
Approximate inference for disease mapping
Computational methods for case-cohort studies
Robust ranking of multivariate GARCH models by problem dimension
Diagnostics for a class of survival regression models with heavy-tailed errors
Estimation of a flexible simple linear model for interval data based on set arithmetic
Some improved estimators of finite population quantile using auxiliary information in sample surveys
Computing moments of ratios of quadratic forms in normal variables
On the online estimation of local constant volatilities
Extended rank analysis of covariance adjusting for local correlations
Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations
Model-free variable selection for conditional mean in regression
A filter for "confidence interval P-values"
Greedy active learning algorithm for logistic regression models
The beta Burr XII distribution with application to lifetime data
Extending fuzzy and probabilistic clustering to very large data sets
Nonparametric density estimation for multivariate bounded data using two non-negative multiplicative bias correction methods
Two-layer EM algorithm for ALD mixture regression models: A new solution to composite quantile regression
Estimation uncertainty in structural inflation models with real wage rigidities
Influence functions and local influence in linear discriminant analysis
Variable selection by Random Forests using data with missing values
Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection
Group linear non-Gaussian component analysis with applications to neuroimaging
Finding the optimal cut-point for Gaussian and Gamma distributed biomarkers
Centre and Range method for fitting a linear regression model to symbolic interval data
Nonparametric registration to low-dimensional function spaces
Goodness-of-fit test for interest rate models: An approach based on empirical processes
Easily simulated multivariate binary distributions with given positive and negative correlations
GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN
Computing estimates of continuous time macroeconometric models on the basis of discrete data
On the exact distribution of maximally selected rank statistics
Exact likelihood inference for two exponential populations under joint Type-II censoring
Distribution modeling and simulation of gene expression data
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
Pure error REML for analyzing data from multi-stratum designs
Joint generalized estimating equations for longitudinal binary data
GS-distributions: A new family of distributions for continuous unimodal variables
Hyper least squares fitting of circles and ellipses
Ensemble sparse estimation of covariance structure for exploring genetic disease data
Dealing with monotone likelihood in a model for speckled data
Accelerate the warm-up stage in the Lasso computation via a homotopic approach
Empirical likelihood inference for mean functionals with nonignorably missing response data
The dual and degrees of freedom of linearly constrained generalized lasso
Improved likelihood inference in Birnbaum-Saunders regressions
Statistical anomaly detection via httpd data analysis
Simulation of Lévy-driven Ornstein-Uhlenbeck processes with given marginal distribution
Generalized orthogonal components regression for high dimensional generalized linear models
Sparse sufficient dimension reduction using optimal scoring
Nonconservative exact small-sample inference for discrete data
Multivariate frailty models for multi-type recurrent event data and its application to cancer prevention trial
Reiss and Thomas' automatic selection of the number of extremes
A novel robust approach for analysis of longitudinal data
Detection, classification and estimation of individual shapes in 2D and 3D point clouds
Ensemble quantile classifier
Approximate conditional inference in mixed-effects models with binary data
Clustering with mixtures of log-concave distributions
A comparative study of robust designs for M-estimated regression models
A flexible and automated likelihood based framework for inference in stochastic volatility models
Making inferences about past environmental change using smoothing in multiple time scales
Some exact tests for manifest properties of latent trait models
A new avenue for Bayesian inference with INLA
Generalized Co-clustering Analysis via Regularized Alternating Least Squares
Flexible and efficient estimating equations for variogram estimation
Feature screening in ultrahigh-dimensional partially linear models with missing responses at random
Recent asymptotic results in testing for mixtures
Estimation of Hurst exponent revisited
Missing covariate data in generalized linear mixed models with distribution-free random effects
Modeling time-dependent overdispersion in longitudinal count data
Real-time factor model forecasting and the effects of instability
Conditional mean dimension reduction for tensor time series
A practical approximation algorithm for the LTS estimator
Bayesian quantile regression using the skew exponential power distribution
Classification of gene functions using support vector machine for time-course gene expression data
A toolbox for K
Detecting change structures of nonparametric regressions
Semiparametric regression models with additive nonparametric components and high dimensional parametric components
A nonparametric empirical Bayes approach to large-scale multivariate regression
Selecting and estimating regular vine copulae and application to financial returns
A classification point-of-view about conditional Kendall's tau
Robust tests in generalized linear models with missing responses
Efficient and robust optimal design for quantile regression based on linear programming
A fast procedure for calculating importance weights in bootstrap sampling
Asymptotically optimal differenced estimators of error variance in nonparametric regression
Gamma approximation of stratified truncated exact test (GASTE-test) & application
Multivariate distributions with proportional reversed hazard marginals
Support vector regression with penalized likelihood
Bayesian nonparametric classification for spectroscopy data
Analysing the performance of bootstrap neural tests for conditional heteroskedasticity in ARCH-M models
Testing a null variance ratio in mixed models with zero degrees of freedom for error
Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods
Selection between Weibull and lognormal distributions: A comparative simulation study
Improved Birnbaum-Saunders inference under type II censoring
On discrete Epanechnikov kernel functions
Waiting time distribution of generalized later patterns
Robust Box-Cox transformations based on minimum residual autocorrelation
Stepwise local influence analysis
Cost-effective designs for trials with discrete-time survival endpoints
A Joint modelling of socio-professional trajectories and cause-specific mortality
Statistical inference for partially shape-constrained function-on-scalar linear regression models
Semiparametric spatial mixed effects single index models
A spectral estimation of tempered stable stochastic volatility models and option pricing
Testing the equality of high dimensional distributions
A goodness-of-fit test for variable-adjusted models
Bayes estimators for reliability measures in geometric distribution model using masked system life test data
Saddlepoint approximations for the doubly noncentral t
Utilizing identity-by-descent probabilities for genetic fine-mapping in population based samples, via spatial smoothing of haplotype effects
Small area estimation under a spatially non-linear model
A statistical test procedure for the shape parameter of a generalized Pareto distribution
Mixed beta regression: A Bayesian perspective
Extremal quantile autoregression for heavy-tailed time series
A Bayesian analysis for longitudinal semicontinuous data with an application to an acupuncture clinical trial
Computational aspects of fitting mixture models via the expectation-maximization algorithm
Weighted rank estimation for nonparametric transformation models with nonignorable missing data
Variable selection in kernel Fisher discriminant analysis by means of recursive feature elimination
Testing constancy in monotone response models
Visualization and inference based on wavelet coefficients, SiZer and SiNos
A robust algorithm for template curve estimation based on manifold embedding
Special issue on correspondence analysis and related methods
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions
LASS: a tool for the local analysis of self-similarity
Implementing the Bianco and Yohai estimator for logistic regression
I L r -optimal designs for a hierarchically ordered system of regression models
Generalized signed-rank estimation for regression models with non-ignorable missing responses
Using normal quantile plot to select an appropriate transformation to achieve normality
A goodness-of-fit test for geometric Brownian motion
Test for homogeneity in gamma mixture models using likelihood ratio
Fiducial-based tolerance intervals for some discrete distributions
The functional singular value decomposition for bivariate stochastic processes
Comparing two binary diagnostic tests in the presence of verification bias
Joint modelling of the body and tail of bivariate data
Weighted kernel Fisher discriminant analysis for integrating heterogeneous data
Permutation procedures with censored data
A stochastic approximation view of boosting
Testing for preference using a sum of Wilcoxon signed rank statistics
Bandwidth selection in marker dependent kernel hazard estimation
Nonparametric regression with doubly truncated data
Regime switches in the dependence structure of multidimensional financial data
Estimation of the optimal design of a nonlinear parametric regression problem via Monte Carlo experiments
Statistical measures of two dimensional point set uniformity
Regularized estimation for the least absolute relative error models with a diverging number of covariates
Single-index modal regression via outer product gradients
Using Boosting to prune Double-Bagging ensembles
Two-sample test in high dimensions through random selection
Analysis of left truncated and right censored competing risks data
k-Sample tests based on the likelihood ratio
Numerical distribution functions for seasonal unit root tests
Supervised multidimensional scaling for visualization, classification, and bipartite ranking
Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models
Identifying differentially expressed genes in unreplicated multiple-treatment microarray timecourse experiments
Post-stratified calibration method for estimating quantiles
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
Variable selection for generalized odds rate mixture cure models with interval-censored failure time data
A nested copula duration model for competing risks with multiple spells
Improved estimators for a general class of beta regression models
Bayesian posterior mean estimates for Poisson hidden Markov models
A-minimax and D-minimax robust optimal designs for approximately linear Haar-wavelet models