yusuke1997/dblp-id-title huggingface dataset:
Frequentist model averaging in the generalized multinomial logit model
Examining the identifiability and estimability of the phase-type ageing model
On the discovery of events in EEG data utilizing information fusion
A Bayesian Analysis of Reliability in Accelerated Life Tests Using Gibbs Sampler
Identification of the order of a fractionally differenced ARMA model
A sparse estimate to varying-coefficient additive models for functional and longitudinal data
Estimation of population spectrum for linear processes with random coefficients
Kolmogorov-Smirnov simultaneous confidence bands for time series distribution function
Should sports professionals consider their adversary's strategy? A case study of match play in golf
Computational aspects of continuous-discrete extended Kalman -filtering
Multivariate nonlinear least squares: robustness and efficiency of standard versus Beauchamp and Cornell methodologies
Inference for a constant-stress model under progressive type-II censored data from the truncated normal distribution
Implementing random scan Gibbs samplers
Correction: Non-parametric entropy tests for Spatial dependence
Robustness Weight by Weighted Median Distance
Bayesian analysis of finite mixture models of distributions from exponential families
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives
Hands-on tutorial for parallel computing with R
Semi-parametric quantile estimation for double threshold autoregressive models with heteroskedasticity
Sensitivity analysis for inference with partially identifiable covariance matrices
Improved confidence intervals for finite mixture regression based on resampling techniques
A markov chain sampler for contingency table exact inference
Compstat 2006 Young Researcher Award
Prediction of censored exponential lifetimes in a simple step-stress model under progressive Type II censoring
Consistency of survey opinions and external data
A non-iteration Bayesian sampling algorithm for robust seemingly unrelated regression models *
On the penalized maximum likelihood estimation of high-dimensional approximate factor model
Modeling of long-term survival data with unobserved dispersion via neural network
An approximately optimal non-parametric procedure for analyzing exchangeable binary data with random cluster sizes
Use of EM algorithm for data reduction under sparsity assumption
On the Selection of Subset Bilinear Time Series Models: a Genetic Algorithm Approach
On high-dimensional two sample mean testing statistics: a comparative study with a data adaptive choice of coefficient vector
Local roughness penalties for regression splines
R-estimation in linear models: algorithms, complexity, challenges
Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random
GOLFS: feature selection via combining both global and local information for high dimensional clustering
A Projection Pursuit Method on the multidimensional squared Contingency Table
A comparison of variational approximations for fast inference in mixed logit models
Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach
Saddlepoint approximations for tests of dispersion
Sparse precision matrix estimation with missing observations
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
Adjusted quantile residual for generalized linear models
On the zero-modified poisson model: Bayesian analysis and posterior divergence measure
Studentized Autoregressive Time Series Residuals
Bayesian selection of primary resolution and wavelet basis functions for wavelet regression
Cross-validated wavelet shrinkage
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap
Threshold variable selection of asymmetric stochastic volatility models
A stationary bootstrap test about two mean vectors comparison with somewhat dense differences and fewer sample size than dimension
Bayesian analysis of Birnbaum-Saunders distribution via the generalized ratio-of-uniforms method
Modeling graphs using dot product representations
Change point estimation for Gaussian time series data with copula-based Markov chain models
Economic design of memory-type control charts: The fallacy of the formula proposed by Lorenzen and Vance (1986)
Partial least squares classification for high dimensional data using the PCOUT algorithm
The expected convex hull trimmed regions of a sample
A new approach to modeling the cure rate in the presence of interval censored data
On linearized ridge logistic estimator in the presence of multicollinearity
Estimation of heavy-tailed probability density function with application to Web data
Computer Aided Teaching for Statistics in Internet Age
Sampling algorithms for estimating the mean of bounded random variables
Double truncation method for controlling local false discovery rate in case of spiky null
Visualizing hypothesis tests in multivariate linear models: the heplots package for R
A note on variability of interval data
Network and attribute-based clustering of tennis players and tournaments
Assessing the economic-statistical performance of variable acceptance sampling plans based on loss function
Hierarchical inference for genome-wide association studies: a view on methodology with software
Attractors in Boolean networks: a tutorial
A latent class pattern mixture model for nonignorable nonresponses in multivariate categorical data
Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis
Weighted quantile regression for longitudinal data
A time series model based on dependent zero inflated counting series
Estimating p-values for Mardia's coefficients of multivariate skewness and kurtosis
A general purpose module using refined descriptive sampling for installation in simulation systems
A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data
Nonlinear nonparametric mixed-effects models for unsupervised classification
Abrupt change in mean using block bootstrap and avoiding variance estimation
Quantinar: a blockchain peer-to-peer ecosystem for modern data analytics
A theory of contrasts for modified Freeman-Tukey statistics and its applications to Tukey's post-hoc tests for contingency tables
Stochastic EM algorithms for parametric and semiparametric mixture models for right-censored lifetime data
Fourier transformation can improve quadrature efficiency of Laplace distribution
A fast regression via SVD and marginalization
Improving bandwidth selection methods by adding qualitative constraints
Confidence intervals for quantile estimation using Jackknife techniques
Testing in linear composite quantile regression models
Bayesian estimation of generalized gamma shared frailty model
Assessing the impact of uniform and nonuniform differential item functioning items on Rasch measure: the polytomous case
On community structure validation in real networks
Wavelet improvement in turning point detection using a hidden Markov model: from the aspects of cyclical identification and outlier correction
Remarks on a parameter estimation for von Mises-Fisher distributions
Correction: Empirical likelihood and estimation in varying coefficient models with right censored data
Hyper-rectangular space partitioning trees: A practical approach
Computer algorithms of lower-order confounding in regular designs
Estimation of the association parameters in hierarchically clustered survival data by nested Archimedean copula functions
Mode testing via higher-order density estimation
Closed-form expressions of the run-length distribution of the nonparametric double sampling precedence monitoring scheme
Compositional PLS biplot based on pivoting balances: an application to explore the association between 24-h movement behaviours and adiposity
Semiparametric regression analysis of panel binary data with an informative observation process
Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model
Profile transformations for reciprocal averaging and singular value decomposition
Objective Bayesian group variable selection for linear model
Semiparametric approaches for matched case-control studies with error-in-covariates
Efficient computation of the stochastic behavior of partial sum processes
Iterative factor clustering of binary data
Accelerated fitting of joint models of survival and longitudinal data with cumulative variations
Probability Distributome : a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions
Automatically tuned general-purpose MCMC via new adaptive diagnostics
Polynomial whitening for high-dimensional data
A linear spline Cox cure model with its applications
Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software by F. Frommlet and M. G. Schimek
Interview with James E. Gentle
Fast computation and practical use of amplitudes at non-Fourier frequencies
Generation of three-dimensional random rotations in fitting and matching problems
An acceleration method for Ten Berge et al.'s algorithm for orthogonal INDSCAL
A machine learning based regulatory risk index for cryptocurrencies
Stability of principal components
Linear-quadratic quantile regression model with a change point due to a threshold covariate
Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown
BITE: A Bayesian Intensity Estimator
Unified mean-variance feature screening for ultrahigh-dimensional regression
Density-based clustering with non-continuous data
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems
Gumbel's bivariate exponential distribution: estimation of the association parameter using ranked set sampling
Variable selection for varying-coefficient models with the sparse regularization
Bayesian structured variable selection in linear regression models
Adaptive basis expansion via (ℓ 1 ) trend filtering
Bayesian tests of symmetry for the generalized Von Mises distribution
Fitting sparse Markov models through a collapsed Gibbs sampler
Network embedding for bipartite networks with applications in interlocking directorates in Chinese companies
Data Visualization through Graph Drawing
Bayesian Geoadditive Seemingly Unrelated Regression
A Monte Carlo comparison of studentized bootstrap and permutation tests for heteroscedastic two-sample problems
Estimation of relative risk using a log-binomial model with constraints
Nonparametric Equivalents of Contrasts for Identifying the Minimum Effective Dose
Statistical inference for case-control logistic regression via integrating external summary data
A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions
Alternative interval estimation for parameters of bivariate exponential model with time varying covariate
On the estimation of partially observed continuous-time Markov chains
Empirical Bayes analysis of unreplicated microarray data
Probability plots and order statistics of the standard extreme value distribution
Erratum to: Dynamic activity analysis model-based win-win development forecasting under environment regulations in China
A new way for ranking functional data with applications in diagnostic test
Estimation of component reliability from superposed renewal processes by means of latent variables
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients
Improved tests for the equality of normal coefficients of variation
Comparing exponential location parameters with several controls under heteroscedasticity
Bayesian group selection with non-local priors
Quicksort leave-pair-out cross-validation for ROC curve analysis
Ensemble updating of categorical state vectors
Assessing the reliability of web-based statistical software
A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution
An adaptive algorithm for estimating inclusion probabilities and performing the Horvitz-Thompson criterion in complex designs
Most recent changepoint detection in censored panel data
Models under which random forests perform badly; consequences for applications
Correction to: Bootstrapping binary GEV regressions for imbalanced datasets
Simple and efficient algorithms for computing exact cumulative discrete probabilities and its inverses
A simple method for implementing Monte Carlo tests
Point and interval estimation of quantiles of several exponential populations with a common location under progressive censoring scheme
Application of the sequential matrix diagonalization algorithm to high-dimensional functional MRI data
Empirical likelihood method for multivariate Cox regression
Clusters of effects curves in quantile regression models
R Version 2.1.0
Power maps in goodness-of-fit testing
Clustering reduced interval data using Hausdorff distance
A general semiparametric maximum likelihood method for Cox regression models with nonmonotone missing at random covariates
A parametric k -means algorithm
On a general class of probability distributions and its applications
Factor dimension determination for panel interactive effects models: an orthogonal projection approach
Adaptive step-length selection in gradient boosting for Gaussian location and scale models
On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions
Automatic selection of indicators in a fully saturated regression
Functional data classification: a wavelet approach
An analysis of the impact of rent control on New York City housing
The role of the frailty in the evaluation of injury risk factors for National Basketball Association players
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers
A copula-based Bayesian framework for doping detection
minPtest: a resampling based gene region-level testing procedure for genetic case-control studies
Supervised learning of multivariate skew normal mixture models with missing information
Generalized Maximum Entropy Estimation of Dynamic Programming Models with Sample Selection Bias
Weighted linear regression models with fixed weights and spherical disturbances
Adaptive Kernel-Based Serial and Parallel U-Net Architectures for the Segmentation of Lung Nodules
Gradient-based smoothing parameter estimation for neural P-splines
A note on imputing squares via polynomial combination approach
V. Berger: Selection bias and covariate imbalances in randomized clinical trials
A Procedural and Object-Oriented Statistical Scripting Language
An optimized algorithm to determine the values of the exact cumulative distribution function of some discrete statistics
An extended Langevinized ensemble Kalman filter for non-Gaussian dynamic systems
Phase and multifractality analyses of random price time series by finite-range interacting biased voter system
Finite-sample distributions of self-normalised sums
Density and distribution evaluation for convolution of independent gamma variables
On the construction of an aggregated measure of the development of interval data
Performance of derivative free search ANN training algorithm with time series and classification problems
Symmetrizing and unitizing transformations for linear smoother weights
Sparse trace norm regularization
Can matching improve the performance of boosting for identifying important genes in observational studies?
Flexible scan statistic test to detect disease clusters in hierarchical trees
Factor analysis for paired ranked data with application on parent-child value orientation preference data
Assessing variable importance in clustering: a new method based on unsupervised binary decision trees
kNN estimators for time series prediction: a functional partial linear single index model with missing responses and error-prone covariates
On testing the equality between interquartile ranges
Penalized wavelet estimation and robust denoising for irregular spaced data
Inference for copula-based dependent competing risks model with step-stress accelerated life test under generalized progressive hybrid censoring
Nonparametric confidence intervals for ranked set samples
Diagnostic Robust Generalized Potential Based on Index Set Equality (DRGP (ISE)) for the identification of high leverage points in linear model
The 8-parameter Fisher-Bingham distribution on the sphere
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging
Inferences on the common mean of several normal populations under heteroscedasticity
Type S error rates for classical and Bayesian single and multiple comparison procedures
A partitioned Single Functional Index Model
Group sequential comparison of two binomial proportions under ranked set sampling design
Proportion estimation in ranked set sampling in the presence of tie information
Nonparametric binary regression models with spherical predictors based on the random forests kernel
An evolutionary estimation procedure for generalized semilinear regression trees
A modest proposal: an approach to making the internal R system extensible
Visual clustering and classification: The Oronsay particle size data set revisited
Variable selection in functional additive regression models
A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches
Closed-form maximum likelihood estimator for generalized linear models in the case of categorical explanatory variables: application to insurance loss modeling
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies
Tree oblique for regression with weighted support vector machine
A note on model diagnostics in longitudinal data analysis
Minimum Hellinger distance estimation for a two-sample semiparametric cure rate model with censored survival data
Penalized spline estimation for panel count data model with time-varying coefficients
Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space
Visualisation of "High p, Small n" data
Variables skip-lot sampling plans on the basis of process capability index for products with a low fraction of defectives
Efficient parameter estimation via modified Cholesky decomposition for quantile regression with longitudinal data
Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability
Bump Hunting for Risk: a New Data Mining Tool and its Applications
Modelling the association in bivariate survival data by using a Bernstein copula
An Improved Saddlepoint Approximation Based on the Negative Binomial Distribution for the General Birth Process
Model based optimization of a statistical simulation model for single diamond grinding
Adjusting the adjusted Rand Index
Local smoothing regression with functional data
Rank estimation for the function-on-scalar model
Immigrant residency and happiness in New York City
Multimodal information gain in Bayesian design of experiments
Estimation of the confidence limits for the quadratic forms in normal variables using a simple Gaussian distribution approximation
A bias reducing technique in kernel distribution function estimation
Likelihood ratio gradient estimation for Meixner distribution and Lévy processes
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models
Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach
Parameter estimation for the discretely observed fractional Ornstein-Uhlenbeck process and the Yuima R package
An algorithm of generating random number by wavelet denoising method and its application
On the CTA-PLS test for hierarchical models: an application to the football player's performance
Evaluating countries' performances by means of rank trajectories: functional measures of magnitude and evolution
The Functional Nonparametric Model and Application to Spectrometric Data
Interview with Andreas Buja
Two-sample homogeneity tests based on divergence measures
A spatial scan statistic for case event data based on connected components
Correction to: Function estimation with locally adaptive dynamic models
Dandelion plot: a method for the visualization of R-mode exploratory factor analyses
Time series forecasting via integrating a filtering method: an application to electricity consumption
Usage of the GO estimator in high dimensional linear models
Data Mining and Statistics - Introduction
On a heavy-tailed parametric quantile regression model for limited range response variables
Interval linear systems: the state of the art
A CNN-based multi-level face alignment approach for mitigating demographic bias in clinical populations
Use of the heuristic optimization in the parameter estimation of generalized gamma distribution: comparison of GA, DE, PSO and SA methods
Missing data and auxiliary information in surveys
RMSE-minimizing confidence intervals for the binomial parameter
Computing highest density regions for continuous univariate distributions with known probability functions
Confidence intervals for ratio of two Poisson rates using the method of variance estimates recovery
Near G-optimal Tchakaloff designs
On tests for symmetry and radial symmetry of bivariate copulas towards testing for ellipticity
Symbolic kernel discriminant analysis
Direct statistical inference for finite Markov jump processes via the matrix exponential
Bayesian estimation and classification for two logistic populations with a common location
Modeling fat tails in stock returns: a multivariate stable-GARCH approach
A simple and efficient method for sampling mixture models based on Dirichlet and Pitman-Yor processes
Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler
Distributions of numbers of runs and scans on directed acyclic graphs with generation
B. F. J. Manly: Randomization, bootstrap and Monte Carlo methods in biology, third edition
Prediciton regions for the visualization of incomplete datasets
A pth-order random coefficients mixed binomial autoregressive process with explanatory variables
Estimation of the change-point Cox proportional hazards model based on case-I interval-censored data
Incremental singular value decomposition for some numerical aspects of multiblock redundancy analysis
Interacting with local and remote data repositories using the stashR package
Canonical Forest
A model-based approach to shot charts estimation in basketball
Automated rejection sampling from product of distributions
The 2011 data Expo of the American Statistical Association
Data Viz VI
High dimensional controlled variable selection with model-X knockoffs in the AFT model
Adaptive proposal distribution for random walk Metropolis algorithm
Analysis of excess deaths from COVID-19 in El Salvador through time series
On testing the log-gamma distribution hypothesis by bootstrap
Aspects of CXXR internals
Two-stage regression spline modeling based on local polynomial kernel regression
PDAS: a Newton-type method for L 0 regularized accelerated failure time model
MARS: selecting basis functions and knots with an empirical Bayes method
Monitoring process variability using auxiliary information
Bayesian inference of the fractional Ornstein-Uhlenbeck process under a flow sampling scheme
A two-step process for graphically summarizing spatial temporal multivariate data in two dimensions
Editorial to the special issue on Applicable semiparametrics of computational statistics
The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data
A batch process for high dimensional imputation
Dynamic sampling from a discrete probability distribution with a known distribution of rates
Advancements in reliability estimation for the exponentiated Pareto distribution: a comparison of classical and Bayesian methods with lower record values
Neural network gradient Hamiltonian Monte Carlo