yusuke1997/dblp-id-title huggingface dataset:
Recursive ridge regression using second-order stochastic algorithms
Using an Approximate Bayesian Bootstrap to multiply impute nonignorable missing data
Analysis of longitudinal data with covariate measurement error and missing responses: An improved unbiased estimating equation
Relative mortality for correlated lifetime data
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space
A continuous threshold expectile model
Matrix completion discriminant analysis
A Monte Carlo study of the accuracy and robustness of ten bivariate location estimators
Corrigendum to "Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions" [Computational Statistics & Data Analysis 53 (2009) 3817-3834]
Linear mixed models with skew-elliptical distributions: A Bayesian approach
Aggregating classifiers with mathematical programming
Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation
Estimating variances for all sample sizes by the bootstrap
K-sample tests for equality of variances of random fuzzy sets
Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes
Bayesian curve estimation by model averaging
Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm
Multivariate cluster-weighted models based on seemingly unrelated linear regression
Recursive computation of piecewise constant volatilities
Iterated Bernstein operators for distribution function and density estimation: Balancing between the number of iterations and the polynomial degree
L 1 -norm projection pursuit principal component analysis
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates
Response shrinkage estimators in binary regression
Iterated imputation estimation for generalized linear models with missing response and covariate values
Analysis of binary longitudinal data with time-varying effects
Dealing with multiple local modalities in latent class profile analysis
One-sample Bayes inference for symmetric distributions of 3-D rotations
Bayesian nonparametric estimation of test equating functions with covariates
The effects of misspecified marginals and copulas on computing the value at risk: A Monte Carlo study
Model-robust and model-sensitive designs
Nonparametric Bayesian label prediction on a graph
Higher-order asymptotic expansions of the least-squares estimation bias in first-order dynamic regression models
Estimation of high dimensional factor model with multiple threshold-type regime shifts
Kalman filter estimation for a regression model with locally stationary errors
Goodness of fit tests via exponential series density estimation
Weighted average least squares estimation with nonspherical disturbances and an application to the Hong Kong housing market
A novel MM algorithm and the mode-sharing method in Bayesian computation for the analysis of general incomplete categorical data
Local minima in categorical multiple regression
Variable selection in the additive rate model for recurrent event data
Longitudinal data analysis using sufficient dimension reduction method
Objective Bayesian analysis of JM model in software reliability
A comparison of three methods for principal component analysis of fuzzy interval data
Automatic dimensionality selection from the scree plot via the use of profile likelihood
Optimal experimental design on the loading frequency for a probabilistic fatigue model for plain and fibre-reinforced concrete
Robust estimation for functional quadratic regression models
Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses
Generating random networks from a given distribution
A pairwise likelihood approach to estimation in multilevel probit models
Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study
Function-on-function quadratic regression models
On a family of interval estimators of effective doses
Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations
Optimal combination forecasts for hierarchical time series
A resistant estimator of multivariate location and dispersion
Estimation and inference on central mean subspace for multivariate response data
Partially parametric interval estimation of $Pr\{Y>X\}$
Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring
A linearly distributed lag estimator with r-convex coefficients
Fitting finite mixtures of generalized linear regressions in R
Likelihood and Bayesian estimation of I using lower record values from the generalized exponential distribution
A hidden Markov model for latent temporal clustering with application to ideological alignment in the U.S. Supreme Court
2nd special issue on robust analysis of complex data
A high dimensional dissimilarity measure
Non-parametric entropy estimators based on simple linear regression
Computation of optimum reliability acceptance sampling plans in presence of hybrid censoring
Regression with stagewise minimization on risk function
Estimation of l 0 norm penalized models: A statistical treatment
Functional principal component analysis for partially observed elliptical process
Estimating functional linear mixed-effects regression models
Efficient MCMC estimation of discrete distributions
Adaptive LASSO for general transformation models with right censored data
Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random
A rank-based goodness-of-fit approach to testing for non-additivity in the two-way layout with no replications
Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods
Sampling algorithms for generating joint uniform distributions using the vine-copula method
Variable and boundary selection for functional data via multiclass logistic regression modeling
Fitting piecewise linear threshold autoregressive models by means of genetic algorithms
Maximum likelihood estimation in nonlinear mixed effects models
Beta-CoRM: A Bayesian approach for n-gram profiles analysis
Comparison of some tests of fit for the Laplace distribution
A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data
Two step composite quantile regression for single-index models
Efficient optimization of the likelihood function in Gaussian process modelling
Model and distribution uncertainty in multivariate GARCH estimation: A Monte Carlo analysis
Computing confidence intervals from massive data via penalized quantile smoothing splines
A bootstrap approach to test the conditional symmetry in time series models
Inference on the probability P(T 1 < T 2 ) as a measurement of treatment effect under a density ratio model and random censoring
On bootstrap consistency of MAVE for single index models
Nested nonnegative cone analysis
A roughness penalty approach to estimate densities over two-dimensional manifolds
A robust unified approach to analyzing methylation and gene expression data
A likelihood ratio type test for invertibility in moving average processes
Characterizing the generalized lambda distribution by L-moments
Improving the computation of censored quantile regressions
Superiority of Bayes estimators over the MLE in high dimensional multinomial models and its implication for nonparametric Bayes theory
Tales from the tail: Robust estimation of moments of environmental data with one-sided detection limits
Parameter estimation and random number generation for student Lévy processes
Inference for grouped data with a truncated skew-Laplace distribution
Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness
Fast indirect robust generalized method of moments
Bootstrap variance estimation with survey data when estimating model parameters
Identification of interaction patterns and classification with applications to microarray data
A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model
Exploring k
Lifetime analysis based on the generalized Birnbaum-Saunders distribution
Efficient and accurate approximate Bayesian inference with an application to insurance data
Fast and robust bootstrap for LTS
Robust polytomous logistic regression
Mixtures of weighted distance-based models for ranking data with applications in political studies
A bootstrap test for the comparison of nonlinear time series
Joint forecasts of Dow Jones stocks under general multivariate loss function
Modified versions of the Bayesian Information Criterion for sparse Generalized Linear Models
Robust likelihood inference for regression parameters in partially linear models
A semiparametric approach to source separation using independent component analysis
A global optimization heuristic for estimating agent based models
Estimation of extreme percentiles in Birnbaum-Saunders distributions
Editorial for the special issue on High-dimensional and functional data analysis
An exact permutation method for testing any effect in balanced and unbalanced fixed effect ANOVA
Kruskal's condition for uniqueness in Candecomp/Parafac when ranks and k
Distance functions for matching in small samples
Log-Burr XII regression models with censored data
Zero-inflated Poisson regression mixture model
A pure L 1 L1-norm principal component analysis
Online missing value imputation for high-dimensional mixed-type data via generalized factor models
On nonparametric estimation of the latent distribution for ordinal data
A bootstrap approximation for the distribution of the Local Whittle estimator
Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs
Feature screening for generalized varying coefficient models with application to dichotomous responses
Natural coordinate descent algorithm for L1-penalised regression in generalised linear models
Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria
Smoothing splines estimators in functional linear regression with errors-in-variables
Combining p-values using order-based methods
An external field prior for the hidden Potts model with application to cone-beam computed tomography
Estimating the mean and variance of a high-dimensional normal distribution using a mixture prior
Simulating longer vectors of correlated binary random variables via multinomial sampling
2-D Rayleigh autoregressive moving average model for SAR image modeling
Evaluating multiplicative error models: A residual-based approach
On stepwise pattern recovery of the fused Lasso
Estimation of a regression spline sample selection model
Co-clustering multi-view data using the Latent Block Model
The geometry of time-varying cross-correlation random fields
Exact Bayesian designs for count time series
An extension of three-parameter Burr III distribution for low-flow frequency analysis
An unbiased method for constructing multilabel classification trees
Robust estimation in partially linear errors-in-variables models
A simple improved inferential method for some discrete distributions
Estimation of the mean squared error of predictors of small area linear parameters under a logistic mixed model
An EM algorithm for estimating the parameters of bivariate Weibull distribution under random censoring
On the use of the bootstrap for estimating functions with functional data
A hierarchical mixture model for clustering three-way data sets
Principal components for multivariate functional data
A genetic algorithm approach to determine stratum boundaries and sample sizes of each stratum in stratified sampling
Likelihood inference for small area estimation using data cloning
Generalized martingale difference divergence: Detecting conditional mean independence with applications in variable screening
Copula based generalized additive models for location, scale and shape with non-random sample selection
Market linkages, variance spillovers, and correlation stability: Empirical evidence of financial contagion
Statistics for Functional Data
Power series generalized nonlinear models
Pinball boosting of regression quantiles
Bootstrapping long memory tests: Some Monte Carlo results
Improving the performance of kurtosis estimator
Generalized ℓ1-penalized quantile regression with linear constraints
Markov models for digraph panel data: Monte Carlo-based derivative estimation
Efficient maximum likelihood estimation of multiple membership linear mixed models, with an application to educational value-added assessments
Goodness-of-fit testing in growth curve models: A general approach based on finite differences
Model-based curve registration via stochastic approximation EM algorithm
A combined overdispersed and marginalized multilevel model
Representing uncertainty about response paths: The use of heuristic optimisation methods
On the computation and some applications of multivariate isotonic regression
A phase II nonparametric control chart based on precedence statistics with runs-type signaling rules
Robust estimating equations and bias correction of correlation parameters for longitudinal data
Variable selection using data splitting and projection for principal fitted component models in high dimension
Two-sample test of stochastic block models
Subject-wise empirical likelihood inference in partial linear models for longitudinal data
Fast regularized canonical correlation analysis
Joint estimation of precision matrices for long-memory time series
Consistency-adjusted alpha allocation methods for a time-to-event analysis of composite endpoints
Direct maximization of the likelihood of a hidden Markov model
Enhancing approximate modular Bayesian inference by emulating the conditional posterior
Parametrization and penalties in spline models with an application to survival analysis
A bootstrap panel unit root test under cross-sectional dependence, with an application to PPP
Inference for a simple step-stress model with competing risks for failure from the exponential distribution under time constraint
A linear programming procedure based on de la Vallée Poussin's minimax estimation procedure
Bayesian inference for the multivariate skew-normal model: A population Monte Carlo approach
Robust estimation for panel count data with informative observation times
Escaping RGBland: Selecting colors for statistical graphics
Computing minimum-volume enclosing ellipsoids for large datasets
Efficient computation of the quasi likelihood function for discretely observed diffusion processes
Quantile curves and dependence structure for bivariate distributions
On estimating the proportion of true null hypotheses for false discovery rate controlling procedures in exploratory DNA microarray studies
An SVM-like approach for expectile regression
Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations
A simulated annealing strategy for the detection of arbitrarily shaped spatial clusters
Spatial prediction of ozone concentration profiles
Constraining kernel estimators in semiparametric copula mixture models
An efficient computing strategy for prediction in mixed linear models
An active set algorithm to estimate parameters in generalized linear models with ordered predictors
Mixture periodic autoregressive conditional heteroskedastic models
A Poisson mixed model with nonnormal random effect distribution
Approximate and generalized confidence bands for the mean and mode functions of the lognormal diffusion process
Interval estimation of odds ratio in a stratified randomized clinical trial with noncompliance
Data analysis with fuzzy clustering methods
Calibration of computer models with multivariate output
Choice of units of analysis and modeling strategies in multilevel hierarchical models
Characterising economic trends by Bayesian stochastic model specification search
Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data
An objective Bayes factor with improper priors
The impact of genetic diversity statistics on model selection between coalescents
A cross-validation deletion-substitution-addition model selection algorithm: Application to marginal structural models
Enhancement of spatially adaptive smoothing splines via parameterization of smoothing parameters
Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example
Efficient methods for estimating constrained parameters with applications to regularized (lasso) logistic regression
A unified framework of multiply robust estimation approaches for handling incomplete data
Approximation of some moments in eigenvalue problem including some random variables and its application
Spatial statistics: Methods, models & computation
Inference in generalized linear regression models with a censored covariate
Additive prediction and boosting for functional data
Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm
A generalized false discovery rate in microarray studies
Nonparametric estimation in α-series processes
A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics
The Bayesian regularized quantile varying coefficient model
Hierarchical independent component analysis: A multi-resolution non-orthogonal data-driven basis
Local bootstrap approaches for fractional differential parameter estimation in ARFIMA models
On the choice of the smoothing parameter for the BHEP goodness-of-fit test
Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation
Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data
Bayesian inference on group differences in multivariate categorical data
Imputation of missing values for compositional data using classical and robust methods
MCMC-based local parametric sensitivity estimations
Simultaneous estimation of quantile regression functions using B-splines and total variation penalty
Causal inference with observational data under cluster-specific non-ignorable assignment mechanism
Forecasting binary longitudinal data by a functional PC-ARIMA model
Adjusting for unmeasured confounding in survival causal effect using validation data
Finite population estimation under generalized linear model assistance
Robust and parallel Bayesian model selection
Hierarchical-likelihood approach for nonlinear mixed-effects models
Simultaneous inference and uniform test for eigensystems of functional data
Robust sufficient dimension reduction via ball covariance
Bayesian semiparametric modeling of survival data based on mixtures of B-spline distributions
F. Ferraty and P. Vieu, Nonparametric functional data analysis: Theory and practice, Springer Series in Statistics
Noise space decomposition method for two-dimensional sinusoidal model
Restricted regression estimation in measurement error models
Subset selection for vector autoregressive processes using Lasso
Identifiability of extended latent class models with individual covariates
Performance measures of the bivariate random effects model for meta-analyses of diagnostic accuracy
Robust smoothing: Smoothing parameter selection and applications to fluorescence spectroscopy
Testing proportionality of two high-dimensional covariance matrices
Community influence analysis in social networks
An expected power approach for the assessment of composite endpoints and their components
Simultaneous multifactor DIF analysis and detection in Item Response Theory
Sparse principal component regression with adaptive loading
Introducing article numbering to Computational Statistics and Data Analysis
Spatial latent class analysis model for spatially distributed multivariate binary data
An algorithm for simulating permutation tests of graph-intersection measures of association
Linearized alternating direction method of multipliers for sparse group and fused LASSO models
I-Scal: Multidimensional scaling of interval dissimilarities
Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions
The gamma-normal distribution: Properties and applications
(Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms
A scale space approach for exploring structure in spherical data
Resampling NANCOVA: Nonparametric analysis of covariance in small samples
Independent Component Analysis for the objective classification of globular clusters of the galaxy NGC 5128
The computational order of a DACE dynamical model
Outlier detection in multivariate functional data through a contaminated mixture model
Fast stable parameter estimation for linear dynamical systems
On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions
Notes on interval estimation of risk difference in stratified noncompliance randomized trials: A Monte Carlo evaluation
The generalized moment estimation of the additive-multiplicative hazard model with auxiliary survival information
Model-averaged confidence intervals for factorial experiments
Supervised dimension reduction for ordinal predictors
Partial correlation with copula modeling
Robust and adaptive functional logistic regression
Bayesian model choice based on Monte Carlo estimates of posterior model probabilities
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
A note on "Louzada, F., Roman, M., Cancho, V.G., 2011. The complementary exponential geometric distribution: Model, properties, and a comparison with its counterpart. Comput. Statist. Data Anal., 55, 2516-2524"
Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data
Exploratory failure time analysis in large scale genomics
An algorithm for non-parametric estimation in state-space models
Managing risk with a realized copula parameter
Confidence intervals for probabilistic network classifiers
A matching algorithm for the distribution of human pancreatic islets
A simple and fast method for computing the Poisson binomial distribution function
A diffusion model of roundtrip time
A method for detecting hidden additivity in two-factor unreplicated experiments
The bivariate generalized linear failure rate distribution and its multivariate extension
Bayesian local influence analysis of general estimating equations with nonignorable missing data
Small area estimation of poverty proportions under area-level time models
On wavelet-based testing for serial correlation of unknown form using Fan's adaptive Neyman method
Modelling breaks and clusters in the steady states of macroeconomic variables
Mode jumping MCMC for Bayesian variable selection in GLMM
Using mathematical expressions in a statistical language
Robustness of cost-effectiveness analyses of cluster randomized trials assuming bivariate normality against skewed cost data
Skewness-based projection pursuit: A computational approach
Parameterisation and efficient MCMC estimation of non-Gaussian state space models
A comparative study of nonparametric estimation in Weibull regression: A penalized likelihood approach
Improving MCMC, using efficient importance sampling
A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions
A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects
Penalized factor mixture analysis for variable selection in clustered data
KNN-kernel density-based clustering for high-dimensional multivariate data
Empirical Bayes matrix completion
Acceleration of the EM algorithm: P-EM versus epsilon algorithm
Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis
On some predictors of times to failure of censored items in progressively censored samples