yusuke1997/dblp-id-title huggingface dataset:
Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation
Accelerating the convergence of the EM algorithm using the vector epsilon
Exploratory data analysis leading towards the most interesting simple association rules
Bootstrap estimation of uncertainty in prediction for generalized linear mixed models
Symbolic computation of moments of sampling distributions
High-dimensional copula-based Wasserstein dependence
PCA document reconstruction for email classification
Analysis of order-of-addition experiments
Visualization and assessment of model selection uncertainty
Model-based replacement of rounded zeros in compositional data: Classical and robust approaches
Semiparametric and nonparametric analysis of recurrent events with observation gaps
SiZer analysis for the comparison of regression curves
Power and sample size requirements for non-inferiority in studies comparing two matched proportions where the events are correlated
Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications
Data-driven neighborhood selection of a Gaussian field
Texture modelling by discrete distribution mixtures
Random multiplication versus random sum: Autoregressive-like models with integer-valued random inputs
Testing the first-order separability hypothesis for spatio-temporal point patterns
On sufficient dimension reduction with missing responses through estimating equations
Quantile regression methods with varying-coefficient models for censored data
Principal minimax support vector machine for sufficient dimension reduction with contaminated data
Analysis of a fixed center effect additive rates model for recurrent event data
Jackstraw inference for AJIVE data integration
A case-deletion diagnostic for penalized calibration estimators and BLUP under linear mixed models in survey sampling
Robust clusterwise linear regression through trimming
Trace regression model with simultaneously low rank and row(column) sparse parameter
Network inference from temporally dependent grouped observations
Log-modified Weibull regression models with censored data: Sensitivity and residual analysis
Adaptive quantile computation for Brownian bridge in change-point analysis
Variable selection in high-dimensional partially linear additive models for composite quantile regression
Regularization and model selection for quantile varying coefficient model with categorical effect modifiers
Random density functions with common atoms and pairwise dependence
Estimation of parameters for exponentiated-Weibull family under type-II censoring scheme
Consistent estimation in an implicit quadratic measurement error model
Efficient calculation of the joint distribution of order statistics
Exact methods for variable selection in principal component analysis: Guide functions and pre-selection
Semiparametric model of mean residual life with biased sampling data
Doubly fractional models for dynamic heteroscedastic cycles
On testing equality of intraclass correlations under unequal family sizes
Asymptotic confidence interval construction for risk difference under inverse sampling
Discrimination of locally stationary time series using wavelets
Exact D-optimal designs for a second-order response surface model on a circle with qualitative factors
Bayesian nonparametric test for independence between random vectors
D-optimality of unequal versus equal cluster sizes for mixed effects linear regression analysis of randomized trials with clusters in one treatment arm
Estimation of survival and capture probabilities in open population capture-recapture models when covariates are subject to measurement error
Noisy kriging-based optimization methods: A unified implementation within the DiceOptim package
Simple and interpretable discrimination
Estimating random walk centrality in networks
Bayesian nonparametric Erlang mixture modeling for survival analysis
Classification of pathological stage of prostate cancer patients using penalized splines
Simplified modeling strategies for surrogate validation with multivariate failure-time data
Testing the significance of the RV coefficient
A robust estimator for the tail index of Pareto-type distributions
Simultaneous fitting of Bayesian penalised quantile splines
Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm
A two-piece normal measurement error model
Modelling long-memory volatilities with leverage effect: A-LMSV versus FIEGARCH
Bayesian copula spectral analysis for stationary time series
Complexity reduction and approximation of multidomain systems of partially ordered data
Computational aspects of nonparametric smoothing with illustrations from the sm library
A Bayesian nonparametric study of a dynamic nonlinear model
A note on confidence interval estimation for a linear function of binomial proportions
Multivariate exponential survival trees and their application to tooth prognosis
Multi-way PLS regression: Monotony convergence of tri-linear PLS2 and optimality of parameters
Calibration of a path-dependent volatility model: Empirical tests
Nonparametric estimation of dynamic discrete choice models for time series data
Bayesian analysis of a Gibbs hard-core point pattern model with varying repulsion range
Piecewise growth curve modeling approach for longitudinal prevention study
Spatial data compression via adaptive dispersion clustering
Exact confidence interval estimation for the Youden index and its corresponding optimal cut-point
Testing for persistence change in fractionally integrated models: An application to world inflation rates
Minimum disparity estimation: Improved efficiency through inlier modification
Mixtures of skew-t factor analyzers
On the choice of an auxiliary function in the M/G/infinity estimation
Statistical inference and prediction for the Weibull process with incomplete observations
Mixture of D-vine copulas for modeling dependence
Distributed debiased estimation of high-dimensional partially linear models with jumps
The empirical likelihood prior applied to bias reduction of general estimating equations
Optimal control of nonlinear dynamic econometric models: An algorithm and an application
Jackknife empirical likelihood test for high-dimensional regression coefficients
Tests for Gaussian graphical models
Model-robust designs for split-plot experiments
An algorithm for automatic curve detection
Confidence intervals based on estimators with unknown rates of convergence
Vine copula based likelihood estimation of dependence patterns in multivariate event time data
Time-dependent frequency domain principal components analysis of multichannel non-stationary signals
Estimation of inverse mean: An orthogonal series approach
MIXANDMIX: numerical techniques for the computation of empirical spectral distributions of population mixtures
Calculation of simplicial depth estimators for polynomial regression with applications
A permutation test for determining significance of clusters with applications to spatial and gene expression data
Estimation of semiparametric probit model based on case-cohort interval-censored failure time data
Changes in atmospheric radiation from the statistical point of view
Subsampling techniques and the Jackknife methodology in the estimation of the extremal index
Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression
Copula model evaluation based on parametric bootstrap
Estimation for partial functional partially linear additive model
Strict monotonicity and convergence rate of Titterington's algorithm for computing D-optimal designs
Comparing the asymptotic and empirical (un)conditional distributions of OLS and IV in a linear static simultaneous equation
Bayesian predictive model comparison via parallel sampling
Λ-neighborhood wavelet shrinkage
A Bayesian method for risk window estimation with application to HPV vaccine trial
A Bayesian analysis of moving average processes with time-varying parameters
Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers
Resistant estimates for high dimensional and functional data based on random projections
Flexible random intercept models for binary outcomes using mixtures of normals
Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling
Estimating time-varying treatment switching effects via local linear smoothing and quasi-likelihood
Mixture-based estimation of entropy
Equivalence of two treatments and sample size determination under exponential survival model with censoring
Manifold-valued models for analysis of EEG time series data
On constrained estimation of graphical time series models
The importance of the scales in heterogeneous robust clustering
On the inferential implications of decreasing weight structures in mixture models
Deletion, replacement and mean-shift for diagnostics in linear mixed models
An alternative algorithm to the PLS B problem
Estimation of fractional integration in the presence of data noise
The accuracy of statistical distributions in Microsoft ® Excel 2007
Competing risk modeling and testing for X-chromosome genetic association
Functional clustering methods for binary longitudinal data with temporal heterogeneity
Comparison of feature selection and classification algorithms in identifying malicious executables
Efficient calculation of test sizes for non-inferiority
How to test the missing data mechanism in a hidden Markov model
Pairwise likelihood inference in spatial generalized linear mixed models
Estimation of shared Gamma frailty models by a modified EM algorithm
An affine invariant multiple test procedure for assessing multivariate normality
A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests
Interest rate spreads and output: A time scale decomposition analysis using wavelets
Reliability inference and sample-size determination under double censoring for some two-parameter models
Classification with decision trees from a nonparametric predictive inference perspective
Comparison of methods for identifying phenotype subgroups using categorical features data with application to autism spectrum disorder
Prediction in functional regression with discretely observed and noisy covariates
A time dependent Bayesian nonparametric model for air quality analysis
Hybrid exact-approximate design approach for sparse functional data
Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones
On shortest prediction intervals in log-Gaussian random fields
Consistent test for parametric models with right-censored data using projections
Bayesian modeling of spatial integer-valued time series
Residual and stratified branching particle filters
Inference on exponential families with mixture of prior distributions
Bayesian nonparametric mixed random utility models
Using the EM algorithm for inference in a mixture of distributions with censored but partially identifiable data
Fast kernel conditional density estimation: A dual-tree Monte Carlo approach
Generalized estimating equations with stabilized working correlation structure
Application of a mixture model for determining the cutoff threshold for activity in high-throughput screening
Grid based variational approximations
Sign eigenanalysis and its applications to optimization problems and robust statistics
A mixture of logistic skew-normal multinomial models
Confidence intervals for tree-structured varying coefficients
How accurate are the extremely small P-values used in genomic research: An evaluation of numerical libraries
A new generalization of the Waring distribution
Analysis of new variable selection methods for discriminant analysis
Linear dynamic harmonic regression
Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures
Penalized maximum likelihood estimation with nonparametric Gaussian scale mixture errors
A synthesis of canonical variate analysis, generalised canonical correlation and Procrustes analysis
Generating random correlation matrices with fixed values: An application to the evaluation of multivariate surrogate endpoints
Linear regression models with slash-elliptical errors
Conditional independence test of failure and truncation times: Essential tool for method selection
Maximum likelihood ratio test for the stability of sequence of Gaussian random processes
Fast Bayesian estimation of spatial count data models
Deriving the autocovariances of powers of Markov-switching GARCH models, with applications to statistical inference
A mixture of generalized latent variable models for mixed mode and heterogeneous data
Multivariate ranks based on randomized lift-interdirections
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data
An illustration of Cox's non-nested testing procedure for logit and probit models
An algorithm to estimate time-varying parameter SURE models under different types of restriction
Prior selection for panel vector autoregressions
Accuracy of Laplace approximation for discrete response mixed models
Lévy flight approximations for scaled transformations of random walks
A smoothed residual based goodness-of-fit statistic for logistic hierarchical regression models
Gene selection and prediction for cancer classification using support vector machines with a reject option
Overview of normal-reference tests for high-dimensional means with implementation in the R package 'HDNRA'
Maximum likelihood estimation of the mixture of log-concave densities
Optimal scaling for survival analysis with ordinal data
A non-linear nested partial least-squares algorithm
A tractable multi-partitions clustering
Mixtures of spatial spline regressions for clustering and classification
Conditional inference for ultrahigh-dimensional additive hazards model
A globally convergent algorithm for lasso-penalized mixture of linear regression models
Adaptive rejection Metropolis sampling using Lagrange interpolation polynomials of degree 2
D-vine copula based quantile regression
Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease
An extensive comparison of recent classification tools applied to microarray data
Causal effects in longitudinal studies: Definition and maximum likelihood estimation
Mixtures of quantile regressions
Gradient boosting for high-dimensional prediction of rare events
Model detection for functional polynomial regression
A new method for simultaneous estimation of the factor model parameters, factor scores, and unique parts
Data-driven boundary estimation in deconvolution problems
Estimation for single-index models via martingale difference divergence
A Bayesian mixture model to quantify parameters of spatial clustering
Estimation and inference for area-wise spatial income distributions from grouped data
GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes
Maximum likelihood estimation of diffusions by continuous time Markov chain
Adaptive conditional feature screening
Non-parametric k-sample tests: Density functions vs distribution functions
Dimension reduction in time series under the presence of conditional heteroscedasticity
A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection
A semi-parametric generalization of the Cox proportional hazards regression model: Inference and applications
Goodness-of-fit test for point processes first-order intensity
Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach
Modeling and forecasting duration-dependent mortality rates
Characteristic function estimation of Ornstein-Uhlenbeck-based stochastic volatility models
Quantile feature screening for infinite dimensional data under FDR control
A SAS/IML software program for GEE and regression diagnostics
A sequential test for variable selection in high dimensional complex data
Multi-model subset selection
A method of simulating multivariate nonnormal distributions by the Pearson distribution system and estimation
Jackknife empirical likelihood method for multiply robust estimation with missing data
An efficient procedure for the avoidance of disconnected incomplete block designs
Flexible regularized estimation in high-dimensional mixed membership models
Multiple comparisons of treatments with skewed ordinal responses
The wrapped stable family of distributions as a flexible model for circular data
Generalized estimating equations and regression diagnostics for longitudinal controlled clinical trials: A case study
Bayesian significance testing and multiple comparisons from MCMC outputs
A hybrid heuristic approach to discrete multi-objective optimization of credit portfolios
Bootstrapping least distance estimator in the multivariate regression model
Nonparametric inference on smoothed quantile regression process
Exact simultaneous confidence intervals for a finite set of contrasts of three, four or five generally correlated normal means
Sensitivity analysis of constrained linear L
Classifying densities using functional regression trees: Applications in oceanology
Goodness-of-fit tests for the error distribution in nonparametric regression
Nonparametric Bayesian estimation of a bivariate density with interval censored data
Mixture models for clustering multilevel growth trajectories
A GMM procedure for combining volatility forecasts
Identification of prognostic factors with multivariate survival data
Reparameterization of extreme value framework for improved Bayesian workflow
Variable selection for spatio-temporal conditionally Poisson point processes
Summary statistics for measuring the relationship among three types of points in multivariate point patterns
Allowing for missing genotypes in any members of the nuclear families in transmission disequilibrium test
Trend filtering via empirical mode decompositions
Parameter estimation in a model for misclassified Markov data - a Bayesian approach
A fast trans-lasso algorithm with penalized weighted score function
Outlier identification in high dimensions
A new MM algorithm for constrained estimation in the proportional hazards model
Two-mode multi-partitioning
Two-sample nonparametric test for proportional reversed hazards
Sensitivity analysis of predictive modeling for responses from the three-parameter Weibull model with a follow-up doubly censored sample of cancer patients
Combining loglinear model with classification and regression tree (CART): an application to birth data
Collective-agreement-based pruning of ensembles
A monitoring display of multivariate outliers
Some extensions of score matching
Consistent estimation in regression models for the drift function in some continuous time models
Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices
Structural equation modeling with near singular covariance matrices
Analysis of presence-only data via semi-supervised learning approaches
Coordinate ascent for penalized semiparametric regression on high-dimensional panel count data
A mapping-based universal Kriging model for order-of-addition experiments in drug combination studies
A nonparametric test for the equality of counting processes with panel count data
The asymptotic and finite sample distributions of OLS and simple IV in simultaneous equations
Jump process for the trend estimation of time series
An extension of an over-dispersion test for count data
Development of a new general class of bivariate distributions based on reversed hazard rate order
A hybrid approach for regression analysis with block missing data
Robust M-estimation of multivariate GARCH models
Large gap imputation in remote sensed imagery of the environment
Three-stage semi-parametric estimation of T-copulas: Asymptotics, finite-sample properties and computational aspects
Modelling discrete longitudinal data using acyclic probabilistic finite automata
Effect ordering for data displays
Designing combined physical and computer experiments to maximize prediction accuracy
Local-moment nonparametric density estimation of pre-binned data
Principal component regression for data containing outliers and missing elements
Mixture model selection via hierarchical BIC
Goodness-of-fit tests based on empirical characteristic functions
Estimation of interclass correlation via a Kotz-type distribution
Random weighting approximation for Tobit regression models with longitudinal data
Mean field variational Bayesian inference for support vector machine classification
Automatic generation of generalised regular factorial designs
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes
On fitting generalized non-linear models with varying coefficients
An estimation method of the average effect and the different accident risks when modelling a road safety measure: A simulation study
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework
Semi-parametric copula sample selection models for count responses
Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials
Generalized F-tests for the multivariate normal mean
Bayesian optimization sequential surrogate (BOSS) algorithm: Fast Bayesian inference for a broad class of Bayesian hierarchical models
A comparison of single and multiple changepoint techniques for time series data
On multivariate binary data clustering and feature weighting
Semiparametric stochastic frontier models for clustered data
TVICA - Time varying independent component analysis and its application to financial data
Approximate filtering of conditional intensity process for Poisson count data: Application to urban crime
Dimension reduction for block-missing data based on sparse sliced inverse regression
The generalized modified Weibull power series distribution: Theory and applications
Robust designs for generalized linear models with possible overdispersion and misspecified link functions
Information criteria: How do they behave in different models?
Minimum density power divergence estimator for Poisson autoregressive models
Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions
Functional data analysis in shape analysis
Group variable selection and estimation in the tobit censored response model
Grapham: Graphical models with adaptive random walk Metropolis algorithms
An exploratory analysis approach for understanding variation in stochastic textured surfaces
ARMA Cholesky factor models for the covariance matrix of linear models
Bayesian sample size determination for case-control studies with misclassification
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes
Assessing the performance of normal-based and REML-based confidence intervals for the intraclass correlation coefficient
A nonlinear multi-dimensional variable selection method for high dimensional data: Sparse MAVE
A sparse additive model for high-dimensional interactions with an exposure variable
A theoretical result for processing signals that have unknown distributions and priors in white Gaussian noise
Sizes of two bootstrap-based nonparametric specification tests for the drift function in continuous time models
Profile inference on partially linear varying-coefficient errors-in-variables models under restricted condition
Clusterwise functional linear regression models
Removing seasonality under a changing regime: Filtering new car sales
On testing a subset of regression parameters under heteroskedasticity
Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature
Power Lindley distribution and associated inference
Clustering with the multivariate normal inverse Gaussian distribution
A new image segmentation algorithm with applications to image inpainting