yusuke1997/dblp-id-title huggingface dataset:
A simple approach to sparse clustering
Modeling dynamic effects of promotion on interpurchase times
Optimized fixed-size kernel models for large data sets
Editorial for the 2nd special issue on high-dimensional and functional data analysis
Default Bayesian model determination methods for generalised linear mixed models
A weighted quantile regression for randomly truncated data
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study
Estimation for the three-parameter lognormal distribution based on progressively censored data
Construction of multiple decrement tables under generalized fractional age assumptions
Tests for high-dimensional generalized linear models under general covariance structure
Robust fitting of a Weibull model with optional censoring
Shape restricted nonparametric regression with Bernstein polynomials
Mixed model-based inference in geoadditive hazard regression for interval-censored survival times
Modeling data with multiple time dimensions
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
On empirical estimation of mode based on weakly dependent samples
The Bayes factor for inequality and about equality constrained models
BART-based inference for Poisson processes
Multivariate GARCH estimation via a Bregman-proximal trust-region method
Multilevel modeling using spatial processes: Application to the Singapore housing market
Dependence modelling in ultra high dimensions with vine copulas and the Graphical Lasso
Small area estimation with spatial similarity
Heteroscedasticity testing for regression models: A dimension reduction-based model adaptive approach
Spatial prediction in the presence of left-censoring
Transformation-based estimation
Partial sufficient variable screening with categorical controls
A plug-in rule for bandwidth selection in circular density estimation
Robust mixture regression using the t-distribution
Robust mixture modeling based on scale mixtures of skew-normal distributions
The evaluation of evidence for exponentially distributed data
Bayesian estimation of generalized hyperbolic skewed student GARCH models
Parameter estimation in the spatial auto-logistic model with working independent subblocks
Computing the asymptotic distribution of second-order U - and V -statistics
Testing proportionality of two large-dimensional covariance matrices
Estimation of mean residual life based on ranked set sampling
Some edge correction methods for marked spatio-temporal point process models
Variable selection in Bayesian multiple instance regression using shotgun stochastic search
EM vs MM: A case study
A Bayesian solution to the multivariate Behrens-Fisher problem
Nonstationary covariance modeling for incomplete data: Monte Carlo EM approach
Selecting time-series hyperparameters with the artificial jackknife
Modeling the random effects covariance matrix for generalized linear mixed models
A novel moment-based sufficient dimension reduction approach in multivariate regression
Partially varying coefficient single index proportional hazards regression models
Computation of the autocovariances for time series with multiple long-range persistencies
Smoothly varying regularization
Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes
A goodness of fit test for copulas based on Rosenblatt's transformation
Algorithms for bounded-influence estimation
Model selection in kernel ridge regression
Long memory and nonlinearities in realized volatility: A Markov switching approach
A Gini-based unit root test
Root selection in normal mixture models
ANOVA extensions for mixed discrete and continuous data
Application of resampling and linear spline methods to spectral and dispersional analyses of long-memory processes
Towards Bayesian experimental design for nonlinear models that require a large number of sampling times
Power analysis of database search using multiple scoring matrices
Robustness of diallel cross designs to the loss of one or more observations
Split Bregman method for large scale fused Lasso
Online wavelet-based density estimation for non-stationary streaming data
Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach
Shrinkage variable selection and estimation in proportional hazards models with additive structure and high dimensionality
Hierarchical multilinear models for multiway data
Economical generalized neighbor designs for use in Serology
An overview of statistical decomposition techniques applied to complex systems
Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data
Testing transformations for the linear mixed model
Burn-in selection in simulating stationary time series
Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response
Empirical assessment of the Maximum Likelihood Estimator quality in a parametric counting process model for recurrent events
Modelling multilevel data under complex sampling designs: An empirical likelihood approach
On the use of the cumulant generating function for inference on time series
Building a robust linear model with forward selection and stepwise procedures
Projection density estimation under a m-sample semiparametric model
Modeling threshold conditional heteroscedasticity with regime-dependent skewness and kurtosis
Predicting extreme value at risk: Nonparametric quantile regression with refinements from extreme value theory
Special issue on imprecision in statistical data analysis
Sufficient dimension reduction for a novel class of zero-inflated graphical models
Additive models in censored regression
A simple test for zero multiple correlation coefficient in high-dimensional normal data using random projection
Detecting misspecification in the random-effects structure of cumulative logit models
Small sample inference for probabilistic index models
Estimation of the conditional risk in classification: The swapping method
Principal component analysis of binary data by iterated singular value decomposition
Smoothed jackknife empirical likelihood for the one-sample difference of quantiles
Efficient unequal probability resampling from finite populations
Change-point detection in regression models via the max-EM algorithm
Approximate unconditional test procedure for comparing two ordered multinomials
Stabilizing the lasso against cross-validation variability
EM algorithms for estimating the Bernstein copula
Bayesian panel data analysis for exploring the impact of subprime financial crisis on the US stock market
On the choice of test for a unit root when the errors are conditionally heteroskedastic
Partition clustering of high dimensional low sample size data based on p-values
Estimation of population proportion for judgment post-stratification
A fast and recursive algorithm for clustering large datasets with k-medians
On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
Adaptive spectral estimation for nonstationary multivariate time series
Learning partial ordinal class memberships with kernel-based proportional odds models
A conditional approach for regression analysis of case K interval-censored failure time data with informative censoring
ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors
Optimal design of Fourier estimator in the presence of microstructure noise
Using the Bayesian Shtarkov solution for predictions
An embedded diachronic sense change model with a case study from ancient Greek
A rank-based approach to estimating monotone individualized two treatment regimes
How to implement signed-rank wilcox.test() type procedures when a center of symmetry is unknown
Modeling respiratory illnesses with change point: A lesson from the SARS epidemic in Hong Kong
Exact statistical analysis for response-adaptive clinical trials: A general and computationally tractable approach
Bayesian boundary trend filtering
Wavelet-based scalar-on-function finite mixture regression models
Dissimilarity measures and divisive clustering for symbolic multimodal-valued data
Distance-based tree models for ranking data
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix
Fitting generalized linear models with unspecified link function: A P-spline approach
Parallel-and-stream accelerator for computationally fast supervised learning
Functional regression approximate Bayesian computation for Gaussian process density estimation
Online non-parametric changepoint detection with application to monitoring operational performance of network devices
Regression analysis of elliptically symmetric directional data
Executives' perceived environmental uncertainty shortly after 9/11
Bayesian inference for spatially inhomogeneous pairwise interacting point processes
Empirical Bayes estimators of the random intercept in multilevel analysis: Performance of the classical, Morris and Rao version
A recursive approach to detect multivariable conditional variance components and conditional random effects
First-passage-time location function: Application to determine first-passage-time densities in diffusion processes
Systematic sampling is a minimum support design
A sequential logistic regression classifier based on mixed effects with applications to longitudinal data
Optimal designed experiments using a Pareto front search for focused preference of multiple objectives
Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates
Modeling gap times between recurrent events by marginal rate function
Iterative stepwise regression imputation using standard and robust methods
Comparison of nonlinear curves and surfaces
Robust communication-efficient distributed composite quantile regression and variable selection for massive data
Risk of mortality after acute myocardial infarction: Performance of model updating methods for application in different geographical regions
Statistical inference for the risk ratio in 2×2 binomial trials with structural zero
Estimating the parameters of a generalized lambda distribution
Harmless label noise and informative soft-labels in supervised classification
SMILE: A novel dissimilarity-based procedure for detecting sparse-specific profiles in sparse contingency tables
An improved method for the computation of maximum likeliood estimates for multinomial overdispersion models
A nonparametric bootstrap method for spatial data
Applications of optimization heuristics to estimation and modelling problems
Robust tests for time series comparison based on Laplace periodograms
Variance estimation in censored quantile regression via induced smoothing
Boosting interaction tree stumps for modeling interactions
A robust P-spline approach to closed population capture-recapture models with time dependence and heterogeneity
Reproducibility of genotypes as measured by the affymetrix GeneChip ® 100K Human Mapping Array set
On multistage ranked set sampling for distribution and median estimation
Variable assessment in latent class models
Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard
Robust estimation of precision matrices under cellwise contamination
Partially functional linear regression in reproducing kernel Hilbert spaces
CLUES: A non-parametric clustering method based on local shrinking
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments
Variance clustering improved dynamic conditional correlation MGARCH estimators
Data analysis using regression models with missing observations and long-memory: an application study
A decision support system methodology for forecasting of time series based on soft computing
Fast surrogates of U-statistics
Sequential Monte Carlo estimation of aerosol size distributions
An improved method for generalized constrained canonical correlation analysis
Correlation rank screening for ultrahigh-dimensional survival data
Combining quantitative trait loci analyses and microarray data: An empirical likelihood approach
Improved methods for the imputation of missing data by nearest neighbor methods
Robust measures of tail weight
Class visualization of high-dimensional data with applications
Estimation of the marginal location under a partially linear model with missing responses
DALASS: Variable selection in discriminant analysis via the LASSO
Fitting jump additive models
Multiple comparisons of k binomial proportions
Detection of linear and circular shapes in image analysis
Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models
Robust exponential smoothing of multivariate time series
Data driven estimates for mixtures
Optimization designs of the combined Shewhart-CUSUM control charts
Conditional generalized estimating equations of mean-variance-correlation for clustered data
Under-reported time-varying MINAR(1) process for modeling multivariate count series
Simultaneous confidence bands for a percentile line in linear regression
Penalized logspline density estimation using total variation penalty
Hidden Markov random field models for TCA image analysis
Maximum likelihood estimation of mixtures of factor analyzers
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
Efficient calculation of the NPMLE of a mixing distribution for mixtures of exponentials
Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail
Some properties of regression estimators in GEE models for clustered ordinal data
Consistent and asymptotically normal PLS estimators for linear structural equations
Bayesian inference for a skew-normal IRT model under the centred parameterization
Score tests for zero-inflated generalized Poisson mixed regression models
Robust Wald-type methods for testing equality between two populations regression parameters: A comparative study under the logistic model
A robust deterministic affine-equivariant algorithm for multivariate location and scatter
A similarity measure to assess the stability of classification trees
An improved approximation to the precision of fixed effects from restricted maximum likelihood
On infimum Dickey-Fuller unit root tests allowing for a trend break under the null
A stochastic EM algorithm for a semiparametric mixture model
Testing the random walk hypothesis through robust estimation of correlation
Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes data
A general Monte Carlo method for multivariate goodness-of-fit testing applied to elliptical families
Time-frequency analysis - G
The out-of-sample problem for classical multidimensional scaling
Maximum likelihood estimation of ordered multinomial probabilities by geometric programming
The sixth special issue on computational econometrics
Fast selection of nonlinear mixed effect models using penalized likelihood
Efficient computation for Whittaker-Henderson smoothing
Dependent mixtures of geometric weights priors
Likelihood-free Bayesian estimation of multivariate quantile distributions
Least squares type estimation for Cox regression model and specification error
Maximum likelihood estimation of spatially and serially correlated panels with random effects
Stylized facts of financial time series and hidden semi-Markov models
Imputed quantile tensor regression for near-sited spatial-temporal data
The influence of violations of assumptions on multilevel parameter estimates and their standard errors
Local influence analysis of nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models
Rate accelerated inference for integrals of multivariate random functions
A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model
The general goodness-of-fit tests for correlated data
Bayesian taut splines for estimating the number of modes
Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling
Multivariate effect priors in bivariate semiparametric recursive Gaussian models
Semiparametric Bayes hierarchical models with mean and variance constraints
A Bayesian model averaging approach to analyzing categorical data with nonignorable nonresponse
Detecting change-points in Markov chains
Response dimension reduction for the conditional mean in multivariate regression
On testing for serial correlation of unknown form using wavelet thresholding
Hypercube estimators: Penalized least squares, submodel selection, and numerical stability
Nonparametric feature selection by random forests and deep neural networks
Bias-adjusted estimation in the ARX(1) model
Asymmetric type II compound Laplace distribution and its application to microarray gene expression
Enumerating the decomposable neighbors of a decomposable graph under a simple perturbation scheme
Neural networks for parameter estimation in intractable models
Improving malware detection by applying multi-inducer ensemble
Modelling the impact of socioeconomic structure on spatial health outcomes
Computation of the ARL for CUSUM-S
Optimization heuristics for determining internal rating grading scales
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model
Wald-type rank tests: A GEE approach
Microsoft Excel's 'Not The Wichmann-Hill' random number generators
Robust joint modeling of mean and dispersion through trimming
Robust depth-based estimation of the functional autoregressive model
Unsupervised data classification using pairwise Markov chains with automatic copulas selection
Prediction intervals for regression models
Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer Disease
A robust Bayesian approach to null intercept measurement error model with application to dental data
Composite quantile regression analysis of survival data with missing cause-of-failure information and its application to breast cancer clinical trial
Comparison of the Andersen-Gill model with poisson and negative binomial regression on recurrent event data
Model based clustering of high-dimensional binary data
A note on the validity of cross-validation for evaluating autoregressive time series prediction
Likelihood and pseudo-likelihood methods for semiparametric joint models for a primary endpoint and longitudinal data
A triplot for multiclass classification visualisation
Stationary bootstrapping for semiparametric panel unit root tests
On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance
Projection-averaging-based cumulative covariance and its use in goodness-of-fit testing for single-index models
Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications
Fusing sufficient dimension reduction with neural networks
Wild bootstrap logrank tests with broader power functions for testing superiority
Bayesian two-component measurement error modelling for survival analysis using INLA - A case study on cardiovascular disease mortality in Switzerland
Dependent mixture models: Clustering and borrowing information
Generalized Rayleigh distribution: different methods of estimations
GeD spline estimation of multivariate Archimedean copulas
A quantile estimation for massive data with generalized Pareto distribution
A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables
A beyond multiple robust approach for missing response problem
A generalized Shapiro-Wilk W statistic for testing high-dimensional normality
Inference for partially observed epidemic dynamics guided by Kalman filtering techniques
Bayesian regularization of Gaussian graphical models with measurement error
The compound class of extended Weibull power series distributions
Two-level factorial and fractional factorial replicates in blocks of size two
Uncertainty-safe large scale support vector machines
A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs
Estimation of banded time-varying precision matrix based on SCAD and group lasso
Improved confidence regions based on Edgeworth expansions
Analysis of the risk difference of marginal and conditional probabilities in an incomplete correlated 2×2 table
Generalized ordinal patterns allowing for ties and their applications in hydrology
Modified linear discriminant analysis approaches for classification of high-dimensional microarray data
Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances
A consistent method of estimation for the three-parameter Weibull distribution
Log-regularly varying scale mixture of normals for robust regression
Clustering heteroskedastic time series by model-based procedures
Using data images for outlier detection
Nonparametric estimation of the tree structure of a nested Archimedean copula
High-dimensional subgroup functional quantile regression with panel and dependent data
Testing equality of covariance matrices when data are incomplete
Feature screening under missing indicator imputation with non-ignorable missing response
Estimators of sensitivity and specificity in the presence of verification bias: A Bayesian approach
Adaptive CUSUM procedures with Markovian mean estimation
A Bayesian generalized multiple group IRT model with model-fit assessment tools
Understanding and comparisons of different sampling approaches for the Fourier Amplitudes Sensitivity Test (FAST)
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Estimating heterogeneous causal effects in observational studies using small area predictors
Fitting parabolas in noisy images
Bayesian planning and inference of a progressively censored sample from linear hazard rate distribution
On some lifetime distributions with decreasing failure rate
Globally robust confidence intervals for simple linear regression
Small area estimation with spatio-temporal Fay-Herriot models
Comparing the asymptotic power of exact tests in 2×2 tables
A multivariate normal regression model for survival data subject to different types of dependent censoring
The numerical evaluation of the probability density function of a quadratic form in normal variables
RMCMC: A system for updating Bayesian models
Comparing medians
Extending a global sensitivity analysis technique to models with correlated parameters
Online bootstrap inference for the geometric median
Classification methods for Hilbert data based on surrogate density
Analysis of Type-II progressively hybrid censored data
A generalized modified Weibull distribution for lifetime modeling
Bayesian beta regression for bounded responses with unknown supports
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers
A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant
Augmented quasi-sudoku designs in field trials
A genetic algorithm for irregularly shaped spatial scan statistics
The logistic regression model with response variables subject to randomized response
Large-scale local surrogate modeling of stochastic simulation experiments
Statistical reconstruction of random point patterns
Split models for contingency tables
Estimation and prediction from gamma distribution based on record values
Fast approximate L ∞ minimization: Speeding up robust regression
Optimal sequential designs in phase I studies
Conjugate priors and variable selection for Bayesian quantile regression
Correlation analysis of principal components from two populations
Testing for homogeneity in a general one-way classification with fixed effects: power simulations and comparative study
Numerical maximum log likelihood estimation for generalized lambda distributions
Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables