yusuke1997/dblp-id-title huggingface dataset:
Fuzzy modelling and estimation of economic relationships
Tests for differential Gaussian Bayesian networks based on quadratic inference functions
Semiparametric quantile regression using family of quantile-based asymmetric densities
New modifications and applications of fuzzy C-means methodology
Latent class models for classification
Ensemble LDA via the modified Cholesky decomposition
Quasi-systematic sampling from a continuous population
Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments
Fast autoregressive model for multivariate dependent outcomes with application to lipidomics analysis for Alzheimer's disease and APOE-ε4
Generalized spatial dynamic factor models
A clipped latent variable model for spatially correlated ordered categorical data
Statistical analysis of bivariate failure time data with Marshall-Olkin Weibull models
Estimating robot strengths with application to selection of alliance members in FIRST robotics competitions
Fuzzy estimates of regression parameters in linear regression models for imprecise input and output data
Classification of large data sets with mixture models via sufficient EM
Robust probabilistic PCA with missing data and contribution analysis for outlier detection
Fast and robust discriminant analysis
Smooth backfitting for errors-in-variables varying coefficient regression models
The distribution of Pearson residuals in generalized linear models
Interval estimation of binomial proportions based on weighted Polya posterior
A generalized Waring regression model for count data
Verification servers: Enabling analysts to assess the quality of inferences from public use data
Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data
A comparative study of the reliability of nine statistical software packages
Sample size calculation for the proportional hazards model with a time-dependent covariate
Generating good pseudo-random numbers
Efficient simulation of a bivariate exponential conditionals distribution
An EM-like algorithm for the semiparametric accelerated failure time gamma frailty model
The Koul-Susarla-Van Ryzin and weighted least squares estimates for censored linear regression model: A comparative study
On the performance of bivariate robust location estimators under contamination
Cramér-von Mises and characteristic function tests for the two and k-sample problems with dependent data
Order selection tests with multiply imputed data
Bayesian inference for the correlation coefficient in two seemingly unrelated regressions
Second special issue on statistical algorithms and software
Robustness of design for the testing of lack of fit and for estimation in binary response models
Approximate inference for spatial functional data on massively parallel processors
Ridge estimation of inverse covariance matrices from high-dimensional data
On the index of dissimilarity for lack of fit in loglinear and log-multiplicative models
Econometric analysis of volatile art markets
On the versatility of the combination of the weighted log-rank statistics
Modelling residuals dependence in dynamic life tables: A geostatistical approach
Clustering and disjoint principal component analysis
Spectral preconditioning of Krylov spaces: Combining PLS and PC regression
Nonparametric confidence intervals for population variance of one sample and the difference of variances of two samples
Accurate ensemble pruning with PL-bagging
A mixture model-based nonparametric approach to estimating a count distribution
State space modeling of Gegenbauer processes with long memory
Empirical likelihood for partially linear single-index models with missing observations
Fast implementation of a scan statistic for identifying chromosomal patterns of genome wide association studies
Optimal confidence interval for the largest normal mean under heteroscedasticity
Semiparametric score driven volatility models
Bayesian linear models for cardinal paired comparison data
Alternatives to the usual likelihood ratio test in mixed linear models
Estimation in a linear multivariate measurement error model with a change point in the data
On the asymptotic t-test for large nonstationary panel models
Genetic clustering of social networks using random walks
Improved likelihood inference in generalized linear models
Assessing model adequacy in possibly misspecified quantile regression
On power and sample size computation for multiple testing procedures
Semiparametric estimation in perturbed long memory series
Threshold-based clustering with merging and regularization in application to network intrusion detection
Smoothing dissimilarities to cluster binary data
Jump robust daily covariance estimation by disentangling variance and correlation components
Local influence in estimating equations
Smooth-CAR mixed models for spatial count data
Panel cointegration testing in the presence of a time trend
Multivariate distributional stochastic frontier models
Bayesian analysis of a generalized lognormal distribution
Quasi-negative binomial distribution: Properties and applications
An alternative pruning based approach to unbiased recursive partitioning
Bayesian analysis of an inverse Gaussian correlated frailty model
On the estimation of the general parameter
An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors
Forecasting time series using principal component analysis with respect to instrumental variables
Negative binomial mixed models for analysis of stuttering rates
RHSBoost: Improving classification performance in imbalance data
Semi-profiled distributed estimation for high-dimensional partially linear model
Transfer learning via random forests: A one-shot federated approach
Assessing agreement of clustering methods with gene expression microarray data
Adaptive distributed smooth composite quantile regression estimation for large-scale data
Acceleration schemes with application to the EM algorithm
Fused mean-variance filter for feature screening
Efficient MCMC for temporal epidemics via parameter reduction
Analysis of long series of longitudinal ordinal data using marginalized models
A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density
Estimating Bayes factors via thermodynamic integration and population MCMC
Assessing the effective sample size for large spatial datasets: A block likelihood approach
A Bayesian conditional autoregressive geometric process model for range data
A new generalization of the negative binomial distribution
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data
A hierarchical testing procedure for three arm non-inferiority trials
Bayesian spatial prediction of the site index in the study of the Missouri Ozark Forest Ecosystem Project
Estimation in bivariate nonnormal distributions with stochastic variance functions
Clustering financial time series: an application to mutual funds style analysis
Bayesian estimation of smoothly mixing time-varying parameter GARCH models
Structural learning of contemporaneous dependencies in graphical VAR models
Sparse-Group Independent Component Analysis with application to yield curves prediction
On hierarchical loglinear models in capture-recapture studies
Hierarchical multiresolution approaches for dense point-level breast cancer treatment data
Combining regular and irregular histograms by penalized likelihood
Exact computation of bivariate projection depth and the Stahel-Donoho estimator
Robust variable selection for model-based learning in presence of adulteration
On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling
An algorithm based on semidefinite programming for finding minimax optimal designs
Confidence intervals for median survival time with recurrent event data
Smoothing sample extremes: The mixed model approach
Using the bootstrap for finite sample confidence intervals of the log periodogram regression
Discrimination on latent components with respect to patterns. Application to multicollinear data
Model selection with the Loss Rank Principle
Joint model-free feature screening for ultra-high dimensional semi-competing risks data
Classification tree analysis using TARGET
Grouped variable importance with random forests and application to multiple functional data analysis
Solving norm constrained portfolio optimization via coordinate-wise descent algorithms
Sparse high-dimensional fractional-norm support vector machine via DC programming
Model selection for support vector machines via uniform design
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
Bayesian inference in a Stochastic Volatility Nelson-Siegel model
On conditional covariance modelling: An approach using state space models
On a dispersion model with Pearson residual responses
Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution
A random-projection based test of Gaussianity for stationary processes
Functional archetype and archetypoid analysis
Estimation of local degree distributions via local weighted averaging and Monte Carlo cross-validation
Time patterns in UK demand for alcohol and tobacco: an application of the EM algorithm
Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints
Multivariate location and scatter matrix estimation under cellwise and casewise contamination
Examining deterrence of adult sex crimes: A semi-parametric intervention time-series approach
Bias and skewness in a general extreme-value regression model
A simple multivariate ARCH model specified by random coefficients
Principal component analysis using frequency components of multivariate time series
Predicting the yield curve using forecast combinations
Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia
Exploratory time varying lagged regression: Modeling association of cognitive and functional trajectories with expected clinic visits in older adults
Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values
Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data
On Gauss quadrature and partial cross validation
Jackknife empirical likelihood inference for the mean absolute deviation
Robust estimation of mixture complexity for count data
The doubly smoothed maximum likelihood estimation for location-shifted semiparametric mixtures
Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer
A semiparametric additive rates model for multivariate recurrent events with missing event categories
M M-type smoothing spline estimators for principal functions
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA
Investigating the multimodality of multivariate data with principal curves
An algorithm for robust linear estimation with grouped data
Nonparametric maximum likelihood analysis of clustered current status data with the gamma-frailty Cox model
A cluster analysis selection strategy for supersaturated designs
A class of nonlinear stochastic volatility models and its implications for pricing currency options
Approximate inference of the bandwidth in multivariate kernel density estimation
A genetic algorithm estimation of the term structure of interest rates
A recursive algorithm for computing the distribution of the number of successes in higher-order Markovian trials
Uncertainty quantification for honest regression trees
Estimation and empirical likelihood for single-index models with missing data in the covariates
Influence diagnostics in beta regression
Sequential estimation of temporally evolving latent space network models
Noise peeling methods to improve boosting algorithms
Least-squares estimation of a convex discrete distribution
Group variable selection via group sparse neural network
Projected gradient approach to the numerical solution of the SCoTLASS
Robust and efficient estimation of multivariate scatter and location
A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm
Nonparametric operator-regularized covariance function estimation for functional data
Smallest Pareto confidence regions and applications
Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association
Using random subspace method for prediction and variable importance assessment in linear regression
Model checking for general linear regression with nonignorable missing response
Using spreadsheet solvers in sample design
Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition
Fitting circles to data with correlated noise
Learning Bayesian networks for discrete data
Computing the constrained M-estimates for regression
Semi-parametric nonlinear regression and transformation using functional networks
Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models
Block sampler and posterior mode estimation for asymmetric stochastic volatility models
Weighted quantile regression in varying-coefficient model with longitudinal data
Experimental designs for drug combination studies
Three predictive power measures for generalized linear models: The entropy coefficient of determination, the entropy correlation coefficient and the regression correlation coefficient
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping
Group coordinate descent algorithms for nonconvex penalized regression
Mean regression model for the zero-truncated Poisson distribution and its generalization
Joint adaptive mean-variance regularization and variance stabilization of high dimensional data
Random effects in promotion time cure rate models
Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions
Predicting times to event based on vine copula models
Spectral approach to parameter-free unit root testing
Unobserved component models with asymmetric conditional variances
Balancing type one and two errors in multiple testing for differential expression of genes
An analysis of three-level orthogonal saturated designs
Nonlinear expectile regression with application to Value-at-Risk and expected shortfall estimation
Empirical likelihood inference for semi-parametric transformation models with length-biased sampling
The influence of a covariate on optimal designs in longitudinal studies with discrete-time survival endpoints
A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis
Comparison of linear shrinkage estimators of a large covariance matrix in normal and non-normal distributions
Correspondence analysis approach for finding allele associations in population genetic study
Transdimensional approximate Bayesian computation for inference on invasive species models with latent variables of unknown dimension
Metropolis-Hastings from a stochastic population dynamics perspective
Topology-based goodness-of-fit tests for sliced spatial data
The uncertainty of conditional returns, volatilities and correlations in DCC models
A corrected Akaike criterion based on Kullback's symmetric divergence: applications in time series, multiple and multivariate regression
Incorporating historical control information into quantal bioassay with Bayesian approach
Modified versions of Bayesian Information Criterion for genome-wide association studies
Efficient multi-class cancer diagnosis algorithm, using a global similarity pattern
Testing for central symmetry and inference of the unknown center
Efficient classification for longitudinal data
Using combinatorial optimization in model-based trimmed clustering with cardinality constraints
PCA and PLS with very large data sets
Using link-preserving imputation for logistic partially linear models with missing covariates
Estimation from aggregate data
Computational techniques for spatial logistic regression with large data sets
An empirical study of tests for uniformity in multidimensional data
Canonical kernel dimension reduction
Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution
A generalization of Tyler's M-estimators to the case of incomplete data
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere
Testing volatility autocorrelation in the constant elasticity of variance stochastic volatility model
JANE: Just Another latent space NEtwork clustering algorithm
Directed wavelet covariance
A group comparison in fMRI data using a semiparametric model under shape invariance
Lost in the shuffle: Testing power in the presence of errorful network vertex labels
An efficient and robust variable selection method for longitudinal generalized linear models
Solving models with inequalities using standard econometric software
Design of hybrids for the minimum sum-of-squares clustering problem
An EM algorithm for the proportional hazards model with doubly censored data
A principal axes method for comparing contingency tables: MFACT
Forecasting nonlinear time series with neural network sieve bootstrap
Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: An application to task-based fMRI data analysis
Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data
Robust estimation for semi-functional linear regression models
Bayesian inference for generalized linear model with linear inequality constraints
Tests for zero-inflation and overdispersion: A new approach based on the stochastic convex order
Joint segmentation of wind speed and direction using a hierarchical model
A periodogram-based metric for time series classification
A test against an umbrella ordered alternative
A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature
Semiparametric Bayesian circular statistics
Robust prediction interval estimation for Gaussian processes by cross-validation method
Small area estimation of general parameters under complex sampling designs
Estimation of the proportion of true null hypotheses in high-dimensional data under dependence
Graphical methods for investigating the finite-sample properties of confidence regions
Testing the fit of the logistic model for matched case-control studies
Simulating from a multinomial distribution with large number of categories
Non-linear time series clustering based on non-parametric forecast densities
Stepwise feature selection using generalized logistic loss
On efficient calculations for Bayesian variable selection
Computationally efficient approximate likelihood procedures for the Boolean model
A simple additivity test for conditionally heteroscedastic nonlinear autoregression
Asymptotic covariance estimation by Gaussian random perturbation
Bayesian binary regression with exponential power link
Fast inference for semi-varying coefficient models via local averaging
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data
Independence index sufficient variable screening for categorical responses
Modelling and forecasting noisy realized volatility
The comparison between classification trees through proximity measures
Improving updating rules in multiplicative algorithms for computing D-optimal designs
Region detection and image clustering via sparse Kronecker product decomposition
Practical variable selection for generalized additive models
Nonparametric Stein-type shrinkage covariance matrix estimators in high-dimensional settings
An improved collapsed Gibbs sampler for Dirichlet process mixing models
Robust fitting of mixtures using the trimmed likelihood estimator
Interquantile shrinkage and variable selection in quantile regression
Left truncated and right censored Weibull data and likelihood inference with an illustration
Generalized interval estimation for the Birnbaum-Saunders distribution
Maximin D-optimal designs for binary longitudinal responses
Interpretation and inference in mixture models: Simple MCMC works
Bayesian inference in non-homogeneous Markov mixtures of periodic autoregressions with state-dependent exogenous variables
Semiparametric model averaging method for survival probability predictions of patients
Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity
Estimation of linear target-layer trajectories using cluttered point cloud data
Minimum quadratic distance density estimation using nonparametric mixtures
Gibbs ensembles for nearly compatible and incompatible conditional models
Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes
Online regularized matrix regression with streaming data
Semiparametric bivariate Archimedean copulas
Exact sequential test of equivalence hypothesis based on bivariate non-central t-statistics
Sparse functional principal component analysis in a new regression framework
Data-driven smooth tests for the martingale difference hypothesis
Goodness of fit test for discrete random variables
Ordinal Logic Regression: A classifier for discovering combinations of binary markers for ordinal outcomes
A robust forward weighted Lagrange multiplier test for conditional heteroscedasticity
Non-parametric bootstrap mean squared error estimation for M-quantile estimators of small area averages, quantiles and poverty indicators
Special issue on Model Selection and High Dimensional Data Reduction
Inferring time non-homogeneous Ornstein Uhlenbeck type stochastic process
On testing alternative classes of life distribution with guaranteed survival times
Automated learning of factor analysis with complete and incomplete data
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression
Recursive partitioning for missing data imputation in the presence of interaction effects
On the permutation test in canonical correlation analysis
An exact confidence set for two binomial proportions and exact unconditional confidence intervals for the difference and ratio of proportions
Numerical linear algebra in the integrity theory of the Global Positioning System
An empirical likelihood-based method for comparison of treatment effects - Test of equality of coefficients in linear models
Collaboration mechanisms and community detection of statisticians based on ERGMs and k NN-walktrap
Modeling tick-by-tick realized correlations
Robust variable selection using least angle regression and elemental set sampling
Interval estimation of the ruin probability in the classical compound Poisson risk model
An EM algorithm for continuous-time bivariate Markov chains
Optimal two-stage genome-wide association designs based on false discovery rate
Variational algorithms for biclustering models
Tools for fuzzy random variables: Embeddings and measurabilities
Distribution-preserving statistical disclosure limitation
A semiparametric model for the cause-specific hazard under risk proportionality
Integral distribution-free statistics of L p -type and their asymptotic comparison
Optimum allocation in stratified surveys: Stochastic programming
Clustering-based inter-regional correlation estimation
Effects of ignoring baseline on modeling transitions from intact cognition to dementia
A bi-aspect nonparametric test for the two-sample location problem
Discriminant analysis with independently repeated multivariate measurements: an L
Maximum likelihood estimation of the Markov-switching GARCH model
Estimation in step-stress accelerated life tests for the exponentiated exponential distribution with type-I censoring