yusuke1997/dblp-id-title huggingface dataset:
On graphical models and convex geometry
A class of template splines
An RIHT statistic for testing the equality of several high-dimensional mean vectors under homoskedasticity
A partial correlation vine based approach for modeling and forecasting multivariate volatility time-series
Estimating the percentage of food expenditure in small areas using bias-corrected P-spline based estimators
A semi-parametric approach to analysis of event duration and prevalence
Deep learning for quantile regression under right censoring: DeepQuantreg
A linearization procedure and a VDM/ECM algorithm for penalized and constrained nonparametric maximum likelihood estimation for mixture models
Structured variable selection via prior-induced hierarchical penalty functions
Computation of c-optimal designs for models with correlated observations
Tracking concept drift using a constrained penalized regression combiner
Model averaging assisted sufficient dimension reduction
Estimation of the monthly unemployment rate for six domains through structural time series modelling with cointegrated trends
Function compositional adjustments of conditional quantile curves
Modelling catastrophic extinction in stochastic birth-death process: Analytical insights, estimation, and efficient simulation
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Nonparametric quantile scalar-on-image regression
A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data
Full uncertainty analysis for Bayesian nonparametric mixture models
A novel partial-linear single-index model for time series data
Bayesian threshold selection for extremal models using measures of surprise
A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing
Robust variable selection with exponential squared loss for the spatial autoregressive model
Mixtures of common t-factor analyzers for modeling high-dimensional data with missing values
An algorithm for generating good mixed level factorial designs
Robust subset selection
Responder identification in clinical trials with censored data
Inference in HIV dynamics models via hierarchical likelihood
Detecting influential data points for the Hill estimator in Pareto-type distributions
Bayesian analysis of the stochastic conditional duration model
A novel method for testing normality in a mixed model of a nested classification
A high-dimensional two-sample test for the mean using random subspaces
A method for bias-reduction of sample-based MLE of the autologistic model
Meta-analysis of time-to-event outcomes using a hazard-based approach: Comparison with other models, robustness and meta-regression
Online updating method to correct for measurement error in big data streams
Robust feature screening for ultra-high dimensional right censored data via distance correlation
Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: An integrated approach
Variational nonparametric discriminant analysis
Adaptive profile-empirical-likelihood inferences for generalized single-index models
Tuning parameter selection in sparse regression modeling
Local influence in measurement error models with ridge estimate
Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data
Assessing continuous bivariate effects among different groups through nonparametric regression models: An application to breast cancer detection
A semi-parametric approach for mixture models: Application to local false discovery rate estimation
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes
A new similarity measure for nonlocal filtering in the presence of multiplicative noise
Optimal tests against the alternative hypothesis of panel unit roots
Generalized co-sparse factor regression
A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean
On the estimation of dynamic conditional correlation models
An alternative estimation method for the accelerated failure time frailty model
Bayesian model selection in ordinal quantile regression
Efficient design and analysis of two colour factorial microarray experiments
Skewness and kurtosis of multivariate Markov-switching processes
Frailty modeling via the empirical Bayes-Hastings sampler
Efficient hybrid EM for linear and nonlinear mixed effects models with censored response
Sums of exchangeable Bernoulli random variables for family and litter frequency data
Advances in Medical Statistics
Bayesian multiscale analysis of images modeled as Gaussian Markov random fields
Simultaneous statistical inference in dynamic factor models: Chi-square approximation and model-based bootstrap
The tenets of quantile-based inference in Bayesian models
Linear grouping using orthogonal regression
Variable selection in high-dimensional linear model with possibly asymmetric errors
A principal varying-coefficient model for quantile regression: Joint variable selection and dimension reduction
Optimal testing strategies for large, sparse multinomial models
Parametric methods for confidence interval estimation of overlap coefficients
Estimating population size of heterogeneous populations with large data sets and a large number of parameters
Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification
Efficient estimation of COM-Poisson regression and a generalized additive model
Rank tests and regression rank score tests in measurement error models
Online learning for the Dirichlet process mixture model via weakly conjugate approximation
A comparison of risk difference estimators in multi-center studies under baseline-risk heterogeneity
Monitoring the covariance matrix with fewer observations than variables
Estimating large covariance matrix with network topology for high-dimensional biomedical data
Consistent skinny Gibbs in probit regression
Model-based clustering via linear cluster-weighted models
Linear mixed models with marginally symmetric nonparametric random effects
Nonparametric inference in small data sets of spatially indexed curves with application to ionospheric trend determination
Two-way Poisson mixture models for simultaneous document classification and word clustering
A unified Bayesian inference on treatment means with order constraints
A comparison of allocation strategies for optimising clinical trial designs under variance heterogeneity
Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data
Time series clustering and classification by the autoregressive metric
Bayesian bridge-randomized penalized quantile regression
Estimation of the volume under the ROC surface with three ordinal diagnostic categories
Fast and fully-automated histograms for large-scale data sets
Estimation of selected parameters
Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases
Stepwise multiple tests for successive comparisons of treatment effects
Exact maximum likelihood estimation of partially nonstationary vector ARMA models
A flexible sequential Monte Carlo algorithm for parametric constrained regression
Feature screening for multi-response varying coefficient models with ultrahigh dimensional predictors
Moment Ratio estimation of autoregressive/unit root parameters and autocorrelation-consistent standard errors
The power of linkage analysis of a disease-related endophenotype using asymmetrically ascertained sib pairs
Modelling small area counts in the presence of overdispersion and spatial autocorrelation
Comparison of ICC and CCC for assessing agreement for data without and with replications
A periodic Levinson-Durbin algorithm for entropy maximization
Transform both sides model: A parametric approach
Smoothed L-estimation of regression function
Level choice in truncated total least squares
Bayesian empirical likelihood for ridge and lasso regressions
Censored generalized Poisson regression model
Practical estimation of high dimensional stochastic differential mixed-effects models
A score test for zero-inflation in multilevel count data
A comparison of semiparametric estimators for the ordered response model
Semiparametric least-squares regression with doubly-censored data
Parallelizing AdaBoost by weights dynamics
Information importance of predictors: Concept, measures, Bayesian inference, and applications
Dimension reduction techniques and the classification of bent double galaxies
A reformulation of the aggregate association index using the odds ratio
An exact method of testing equality of several binomial proportions to a specified standard
The complementary exponential power lifetime model
Discontinuities in indirect estimation: An application to EAR models
Homogeneity analysis using absolute deviations
Fast goodness-of-fit tests based on the characteristic function
Accelerating inference for stochastic kinetic models
A polythetic clustering process and cluster validity indexes for histogram-valued objects
Exact balanced random imputation for sample survey data
On MCMC sampling in self-exciting integer-valued threshold time series models
Inference on order restricted means of inverse Gaussian populations under heteroscedasticity
On the relationships among latent variables and residuals in PLS path modeling: The formative-reflective scheme
Repeated median and hybrid filters
Sequential Monte Carlo EM for multivariate probit models
An exchange algorithm for optimal calibration of items in computerized achievement tests
Asymptotic distributions for quasi-efficient estimators in echelon VARMA models
Construction of MV- and SMV-optimum designs for binary response models
Covariance-insured screening
Simultaneous confidence intervals for multiple comparisons among expected values of log-normal variables
Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids
Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests
Bayesian modal regression based on mixture distributions
Goodman-Kruskal gamma
Estimation of seasonal fractionally integrated processes
Latent Gaussian random field mixture models
A bi-aspect nonparametric test for the multi-sample location problem
Confidence intervals for ARMA-GARCH Value-at-Risk: The case of heavy tails and skewness
A flexible mixed-membership model for community and enterotype detection for microbiome data
Fast computation of large scale marginal extremes with multi-dimensional covariates
Comparing classical criteria for selecting intra-class correlated features in Multimix
Simulation-based Bayesian inference for epidemic models
A Gaussian copula joint model for longitudinal and time-to-event data with random effects
Faithfulness and learning hypergraphs from discrete distributions
Robustness of Fourier estimator of integrated volatility in the presence of microstructure noise
A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood
Bootstrap prediction mean squared errors of unobserved states based on the Kalman filter with estimated parameters
Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment
Multivariate distribution models with generalized hyperbolic margins
Extending the long-term survivor mixture model with random effects for clustered survival data
Approximation of partial distribution in renewal function calculation
A Dirichlet process model for directional-linear data with application to bloodstain pattern analysis
Ridge-based method for finding curvilinear structures from noisy data
Early stopping in L 2 Boosting
Indirect inference methods for stochastic volatility models based on non-Gaussian Ornstein-Uhlenbeck processes
Feature selection in the Laplacian support vector machine
A two-parameter lifetime distribution with decreasing failure rate
Bootstrap corrections of treatment effect estimates following selection
Nonparametric multiple comparison procedures for ordered parameters in balanced incomplete blocks
A goodness-of-fit test for Archimedean copula models in the presence of right censoring
An algorithm for estimating threshold boundary regression models
Bayesian binary kernel probit model for microarray based cancer classification and gene selection
Penalized scalar-on-functions regression with interaction term
Bayesian inference for additive mixed quantile regression models
Estimating the error variance after a pre-test for an interval restriction on the coefficients
On estimation and influence diagnostics for zero-inflated negative binomial regression models
Measure selection for functional linear model
Bayesian analysis of autoregressive moving average processes with unknown orders
Methods for quarterly disaggregation without indicators; a comparative study using simulation
Approximation of multiple integrals over hyperboloids with application to a quadratic portfolio with options
Influence diagnostics in generalized log-gamma regression models
Bregman divergences in the (m×k)-partitioning problem
Gaussian mixture model classification: A projection pursuit approach
Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme
On simulating multivariate non-normal distributions from the generalized lambda distribution
Bayesian analysis of correlated misclassified binary data
Detecting change-points in multidimensional stochastic processes
Local influence in principal component analysis: relationship between the local influence and influence function approaches revisited
On Jeffreys's cardioid distribution
A simultaneous CONCOR algorithm for the analysis of two partitioned matrices
A copula duration model with dependent states and spells
Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis
Robustness of classical and optimal designs to missing observations
Off-the-peg and bespoke classifiers for fraud detection
Spatial heterogeneity automatic detection and estimation
Reversible jump MCMC for nonparametric drift estimation for diffusion processes
A dynamic linear model with extended skew-normal for the initial distribution of the state parameter
A unified framework on defining depth for point process using function smoothing
A simple method for screening variables before clustering microarray data
A new approach to bootstrap inference in functional coefficient models
Estimating a density by adapting an initial guess
Large sample approximations for the LR statistic for equality of the smallest eigenvalues of a covariance matrix under elliptical population
Quantile regression for functional partially linear model in ultra-high dimensions
Interaction models for functional regression
Optimal design for correlated processes with input-dependent noise
Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets
Computation of optimal plotting points based on Pitman closeness with an application to goodness-of-fit for location-scale families
Robust mixture regression modeling based on the normal mean-variance mixture distributions
Bayesian estimation and variable selection for single index models
Multivariate Fay-Herriot models for small area estimation
The ability to correct the bias in the stable AD(1, 1) model with a feedback effect
The fuzzy approach to statistical analysis
Interpretation of partial least-squares regression models with VARIMAX rotation
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres
Multiplicative bias correction for asymmetric kernel density estimators revisited
A framework for modelling overdispersed count data, including the Poisson-shifted generalized inverse Gaussian distribution
A new model for explaining long-range correlations in human time interval production
Bilateral matrix spatiotemporal autoregressive model
MCMC algorithms for constrained variance matrices
Nonparametric k-sample test based on kernel density estimator for paired design
Inference on the Weibull distribution based on record values
Regional quantile regression for multiple responses
Nonlinear dynamics in Nasdaq dealer quotes
Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion
An option pricing formula for the GARCH diffusion model
Local and global topics in text modeling of web pages nested in web sites
Two classes of multiplicative algorithms for constructing optimizing distributions
Extended dynamic generalized linear models: The two-parameter exponential family
Bayesian sequential D-D optimal model-robust designs
Usage of a pair of S-paths in Bayesian estimation of a unimodal density
Estimating the mean of a mark variable under right censoring on the basis of a state function
Expected values of the number of failures for two populations under joint Type-II progressive censoring
Using integrated weighted survival difference for the two-sample censored data problem
Model-based co-clustering for ordinal data
Recurrence relations for distributions of a skew-t and a linear combination of order statistics from a bivariate-t
The fourth special issue on Computational Econometrics
Seriation by constrained correspondence analysis: A simulation study
Simultaneous adjustment of bias and coverage probabilities for confidence intervals
Comparison of concordance correlation coefficient via variance components, generalized estimating equations and weighted approaches with model selection
On Bayesian estimation and model comparison of an integrated structural equation model
Bayesian skew selection for multivariate models
Logistic regression with outcome and covariates missing separately or simultaneously
Wavelet denoising of Poisson-distributed data and applications
Power transformations in correspondence analysis
Information criteria for Fay-Herriot model selection
Technological modelling for graphical models: an approach based on genetic algorithms
Composite quantile regression for ultra-high dimensional semiparametric model averaging
Prediction of multivariate responses with a selected number of principal components
Estimation in partially linear models and numerical comparisons
LogitBoost with errors-in-variables
A revisit to the common mean problem: Comparing the maximum likelihood estimator with the Graybill-Deal estimator
Analysis of filtering and smoothing algorithms for Lévy-driven stochastic volatility models
Asymptotic robustness of the asymptotic biases in structural equation modeling
Semiparametric function-on-function quantile regression model with dynamic single-index interactions
Test and estimation in binary data analysis under an incomplete block crossover design
Bayesian model selection for logistic regression models with random intercept
A parallel algorithm for semi-infinite programming
Adaptive clustering for time series: Application for identifying cell cycle expressed genes
Nonparametric estimation of the conditional tail index and extreme quantiles under random censoring
DPLS and PPLS: two PLS algorithms for large data sets
Nonparametric estimation of a quantile density function by wavelet methods
Partition-based feature screening for categorical data via RKHS embeddings
Bayesian inference for the hazard term structure with functional predictors using Bayesian predictive information criteria
Prediction with a flexible finite mixture-of-regressions
Cluster-wise assessment of cluster stability
Special issue on statistical algorithms and software in R
Model-based simultaneous clustering and ordination of multivariate abundance data in ecology
The impact of general non-parametric volatility functions in multivariate GARCH models
Truncated estimation in functional generalized linear regression models
Modeling and prediction of multivariate space-time random fields
Regime-switching Pareto distributions for ACD models
A joint test for structural stability and a unit root in autoregressions
Variable selection using shrinkage priors
Transformations in semi-parametric Bayesian synthetic likelihood
Assessing when a sample is mostly normal
Penalised maximum likelihood estimation in multi-state models for interval-censored data
A multiple imputation approach for semiparametric cure model with interval censored data
Bayesian subgroup analysis in regression using mixture models
Testing independence in high dimensions using Kendall's tau
A frame based shrinkage procedure for fast oscillating functions
On diagnostics in double generalized linear models
Online analysis of time series by the Q n estimator
Fracture orientation characterization: Minimizing statistical modelling errors
Modelling by supersaturated designs
Sequential estimation for mixture of regression models for heterogeneous population
Line and point cluster models for spatial health data
Estimating a unitary effect summary based on combined survival and quantitative outcomes
Wavelet analysis of stock returns and aggregate economic activity
Generating beta random numbers and Dirichlet random vectors in R: The package rBeta2009
Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models
Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collide
Correcting for sample selection bias in Bayesian distributional regression models
Testing for heteroskedasticity and spatial correlation in a two way random effects model
An evaluation of non-parametric relative risk estimators for disease maps
Phase and amplitude-based clustering for functional data
On the accuracy of statistical procedures in Microsoft Excel 2003
Model selection via Bayesian information capacity designs for generalised linear models
Sufficient bootstrapping
New global optimization algorithms for model-based clustering
Optimal multilinear estimation of a random vector under constraints of causality and limited memory
On quantile estimation by bootstrap
Group testing case identification with biomarker information
Bayesian classification for bivariate normal gene expression
Design efficiency in dose finding studies
On improved EM algorithm and confidence interval construction for incomplete r
Approximate computation of projection depths
Quasi-Monte Carlo sampling to improve the efficiency of Monte Carlo EM
Constrained unidimensional scaling with application to genomics
Estimation of ordinal pattern probabilities in Gaussian processes with stationary increments
Confidence intervals through sequential Monte Carlo
Cox regression model with doubly truncated and interval-censored data
Fourier methods for testing multivariate independence
Gaussian process methods for nonparametric functional regression with mixed predictors
Bayesian model selection for unit root testing with multiple structural breaks
A convex version of multivariate adaptive regression splines
Classification of molecular sequence data using Bayesian phylogenetic mixture models
Robust inference in generalized partially linear models
On properties of predictors derived with a two-step bootstrap model averaging approach - A simulation study in the linear regression model
Causal network learning with non-invertible functional relationships
A latent class selection model for nonignorably missing data
Smoothing parameter selection for smoothing splines: a simulation study
Fisher scoring: An interpolation family and its Monte Carlo implementations
The EM algorithm for the extended finite mixture of the factor analyzers model
Generalized linear models with clustered data: Fixed and random effects models
A procedure for robust fitting in nonlinear regression
On rank tests for shift detection in time series
Distributed subdata selection for big data via sampling-based approach
G-computation estimation for causal inference with complex longitudinal data
On the estimation and diagnostic checking of the ARFIMA-HYGARCH model
Bayesian inference of Weibull distribution based on left truncated and right censored data
Model assessment plots for multilevel logistic regression