yusuke1997/dblp-id-title huggingface dataset:
Bayesian local influence of semiparametric structural equation models
Mixture-based clustering for the ordered stereotype model
Clustering of gene locations
Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer 's disease
A motif building process for simulating random networks
Fixed factor analysis with clustered factor score constraint
Perfect simulation for marked point processes
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions
Efficient Bayesian functional principal component analysis of irregularly-observed multivariate curves
Shared Bayesian variable shrinkage in multinomial logistic regression
Robust balanced measurement designs when errors are serially correlated
Semiparametric spatial model for interval-censored data with time-varying covariate effects
A maximum likelihood method for an asymmetric MDS model
New statistical software for the proportional hazards model with current status data
A note on mean-field variational approximations in Bayesian probit models
A Bayesian mixture model for clustering circular data
Numerical evaluation of methods approximating the distribution of a large quadratic form in normal variables
Bounding rare event probabilities in computer experiments
Random average shifted histograms
Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias
Using earlier measures in a longitudinal sequence as a potential surrogate for a later one
Separating variables to accelerate non-convex regularized optimization
Shape and change point analyses of the Birnbaum-Saunders-t hazard rate and associated estimation
Computer generation of negative binomial variates by envelope rejection
Inference for monotone single-index conditional means: A Lorenz regression approach
Likelihood based inference for the multivariate renewal Hawkes process
Linear instrumental variables model averaging estimation
Angle-based models for ranking data
Bayesian model selection for generalized linear models using non-local priors
A kernel-based measure for conditional mean dependence
Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models
Visualizing cereal world
Retraction notice to "Social networks of author-coauthor relationships" [Computational Statistics & Data Analysis 52 (4) 2177-2184]
Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data
Semiparametric transformation joint models for longitudinal covariates and interval-censored failure time
Mean-field variational approximate Bayesian inference for latent variable models
Empirical likelihood inference in linear regression with nonignorable missing response
Unified specification tests in partially linear time series models
Identification of local sparsity and variable selection for varying coefficient additive hazards models
Viewing the relative efficiency of IV estimators in models with lagged and instantaneous feedbacks
The use of mixtures for dealing with non-normal regression errors
Some restriction tests in a new class of regression models for proportions
Reciprocal curves
A variational inference framework for inverse problems
Simulation-based two-stage estimation for multiple nonparametric regression
Model-based clustering for multivariate functional data
A new algorithm for solving binary discrimination in conditional logistic regression, with two choices of strata
ABC model selection for spatial extremes models applied to South Australian maximum temperature data
A robust spline approach in partially linear additive models
Correlated binomial regression models
Special Issue in Honour of Stan Azen: a Birthday Celebration
Selection of artificial neural network models for survival analysis with Genetic Algorithms
Expectile periodogram
Efficient and feasible inference for high-dimensional normal copula regression models
Exploratory data analysis and model criticism with posterior plots
Comparison of different estimation procedures for proportional hazards model with random effects
Functional linear regression after spline transformation
Semi-parametric single-index two-part regression models
High-dimensional pseudo-logistic regression and classification with applications to gene expression data
The robust estimation method for a finite mixture of Poisson mixed-effect models
Goodness-of-fit test of the stratified mark-specific proportional hazards model with continuous mark
Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials
Variable selection for functional regression models via the L 1 regularization
Calibrated FFT-based density approximations for alpha
Simultaneous score confidence bounds for risk differences in multiple comparisons to a control
Variable selection bias in regression trees with constant fits
Stable computational methods for additive binomial models with application to adjusted risk differences
Hidden semi-Markov models with inhomogeneous state dwell-time distributions
Three-group ROC analysis: A nonparametric predictive approach
A comparative study of algorithms for solving seemingly unrelated regressions models
Laplace random effects models for interlaboratory studies
Efficient importance sampling maximum likelihood estimation of stochastic differential equations
Empirical likelihood ratios applied to goodness-of-fit tests based on sample entropy
New tests for the identity and sphericity of high-dimensional covariance matrices via U-statistics
The sizes of the three popular asymptotic tests for testing homogeneity of two binomial proportions
Privacy-preserving communication-efficient spectral clustering for distributed multiple networks
Regional residual plots for assessing the fit of linear regression models
Estimation of the accelerated failure time frailty model under generalized gamma frailty
Bayesian analysis of Birnbaum-Saunders distribution with partial information
A prior for record linkage based on allelic partitions
Comparisons of improved risk estimators of the multivariate mean vector
Tuning-free ridge estimators for high-dimensional generalized linear models
Dimensionality reduction when data are density functions
Covariate dependent Beta-GOS process
Automatic variable selection for longitudinal generalized linear models
Comparison of hierarchical and marginal likelihood estimators for binary outcomes
Improving the robustness of fractional polynomial models by preliminary covariate transformation: A pragmatic approach
Moderately clipped LASSO
Testing for serial independence of panel errors
Predicting unobserved links in incompletely observed networks
A rank-based high-dimensional test for equality of mean vectors
Fast kriging of large data sets with Gaussian Markov random fields
Robust variable selection through MAVE
Maximum likelihood estimation in vector long memory processes via EM algorithm
Stan Azen: A Master of Numbers and Notes
Two types of single-peaked data: Correspondence analysis as an alternative to principal component analysis
Excess false positive rate caused by population stratification and disease rate heterogeneity in case-control association studies
A new extended Birnbaum-Saunders regression model for lifetime modeling
A family of the information criteria using the phi-divergence for categorical data
Robust testing for superiority between two regression curves
Power comparisons for disease clustering tests
Two sample tests for high-dimensional autocovariances
Step-up and step-down procedures controlling the number and proportion of false positives
Construction of bivariate S-distributions with copulas
Additive partially linear model for pooled biomonitoring data
Modeling overdispersion with the normalized tempered stable distribution
Some goodness-of-fit tests for the Poisson distribution with applications in Biodosimetry
Random effects misspecification and its consequences for prediction in generalized linear mixed models
Dimension reduction using the generalized gradient direction
Communication-efficient estimation and inference for high-dimensional longitudinal data
Penalized quasi-likelihood with spatially correlated data
Wavelets in functional data analysis: Estimation of multidimensional curves and their derivatives
Emulating dynamic non-linear simulators using Gaussian processes
Robust MAVE through nonconvex penalized regression
Update formulas for split-plot and block designs
Likelihood-based inference for asymmetric stochastic volatility models
A parametric bootstrap approach for ANOVA with unequal variances: Fixed and random models
Fast balanced sampling for highly stratified population
Predictive inference for a future response using symmetrically trimmed sample from the half-normal model
Web document clustering using hyperlink structures
Multimodal Bayesian registration of noisy functions using Hamiltonian Monte Carlo
Second Special issue on Computational Econometrics
Nonparametric additive model with grouped lasso and maximizing area under the ROC curve
On homogeneous least-squares problems and the inconsistency introduced by mis-constraining
Explaining classifiers with measures of statistical association
Estimation in semiparametric conditional shared frailty models with events before study entry
An application of the modified Leverrier-Faddeev algorithm to the spectral decomposition of symmetric block-circulant matrices
Localized level crossing random walk test robust to the presence of structural breaks
Estimating confidence intervals for the difference in diagnostic accuracy with three ordinal diagnostic categories without a gold standard
On generalized multivariate decision tree by using GEE
Finding the limit of diverging components in three-way Candecomp/Parafac - A demonstration of its practical merits
Kernel weighted influence measures
The choice of smoothing parameter in nonparametric regression through Wild Bootstrap
Quest for a sensible null distribution in longitudinal microarray experiments
Tail index estimation in the presence of long-memory dynamics
A new algorithm for latent root regression analysis
Hypothesis testing on compound symmetric structure of high-dimensional covariance matrix
Comparing stochastic volatility models through Monte Carlo simulations
A novel Bayesian approach for variable selection in linear regression models
Multivariate specification tests based on a dynamic Rosenblatt transform
Exploiting predictor domain information in sufficient dimension reduction
On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation
An O(N) parallel method of computing the Log-Jacobian of the variable transformation for models with spatial interaction on a lattice
Bias reduction in kernel binary regression
Approximate maximum likelihood estimation of the autologistic model
Estimating the linear regression model with categorical covariates subject to randomized response
On the estimation of the stereotype regression model
A new fusion formula and its application to continuous-time linear systems with multisensor environment
On the glog-normal distribution and its application to the gene expression problem
Regression trees for analysis of count data with extra Poisson variation
Comparison of two normal populations with restricted means
Model-based classification via mixtures of multivariate t-distributions
Improving the estimation of Kendall's tau when censoring affects only one of the variables
Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model
New approaches to nonparametric density estimation and selection of smoothing parameters
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics
A semiparametric model selection criterion with applications to the marginal structural model
Testing on the common mean of several normal distributions
Density estimator for strip transects when animals show directional movement and observation speed is slow
A mixture model for preferences data analysis
Non-parametric log-concave mixtures
Investigating omitted variable bias in regression parameter estimation: A genetic algorithm approach
Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs output
Finite Mixture, Zero-inflated Poisson and Hurdle models with application to SIDS
On the identification of predictive biomarkers: Detecting treatment-by-gene interaction in high-dimensional data
Widely linear prediction for transfer function models based on the infinite past
On good matrices, skew Hadamard matrices and optimal designs
Recurrence statistics for anomalous diffusion regime change detection
Efficient Bayesian estimation of multivariate state space models
A partially separable model for dynamic valued networks
The multi-aspect tests in the presence of ties
Editorial: recent developments in mixture models
Approximate Bayesian conditional copulas
Modified fast double sieve bootstraps for ADF tests
On the using of modal curves for radar waveforms classification
Depth-based inference for functional data
Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm
A dual-penalized approach to hypothesis testing in high-dimensional linear mediation models
Orthogonality-projection-based estimation for semi-varying coefficient models with heteroscedastic errors
Computing highly accurate or exact P-values using importance sampling
Minimum distance estimators of population size from snowball samples using conditional estimation and scaling of exponential random graph models
Posterior analysis of latent competing risk models by parallel tempering
Optimization of large simulations using statistical software
Minimum volume peeling: A robust nonparametric estimator of the multivariate mode
Nearest neighbor estimates of regression
Multivariate models for dependent clusters of variables with conditional independence given aggregation variables
Anatomical curve identification
Kernel multilogit algorithm for multiclass classification
An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets
Generalized structured additive regression based on Bayesian P-splines
Optimal spatial aggregation of space-time models and applications
A graph Laplacian prior for Bayesian variable selection and grouping
Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data
A study of partial F tests for multiple linear regression models
A new adaptive procedure for multiple window scan statistics
Identification of proportionality structure with two-part models using penalization
Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design
Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation
Transforming response values in small area prediction
Smooth LASSO estimator for the Function-on-Function linear regression model
New upper bounds for tight and fast approximation of Fisher's exact test in dependency rule mining
Estimation using hybrid censored data from a two-parameter distribution with bathtub shape
Efficiency evaluation of MEV spatial sampling strategies: a scenario analysis
Identification of breast cancer prognosis markers via integrative analysis
On the hazard function of Birnbaum-Saunders distribution and associated inference
Three-way data clustering based on the mean-mixture of matrix-variate normal distributions
Robust estimation of dimension reduction space
A quick procedure for model selection in the case of mixture of normal densities
A maximum entropy type test of fit
A model for non-parametric spatially varying regression effects
Mechanism-based emulation of dynamic simulation models: Concept and application in hydrology
Bayesian analysis of generalized partially linear single-index models
Integrated squared error estimation of normal mixtures
Subsampling spectral clustering for stochastic block models in large-scale networks
Sparse spatially clustered coefficient model via adaptive regularization
Testing non-inferiority for clustered matched-pair binary data in diagnostic medicine
Assessment of local influence in elliptical linear models with longitudinal structure
Space-time variograms and a functional form for total air pollution measurements
Time-varying quantile single-index model for multivariate responses
Testing the parametric form of the conditional variance in regressions based on distance covariance
Worst-case estimation for econometric models with unobservable components
Effect of imbalance and intracluster correlation coefficient in cluster randomized trials with binary outcomes
PLS generalised linear regression
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study
Computing the distribution of the product of two continuous random variables
A bandwidth selection for kernel density estimation of functions of random variables
Modelling multi-output stochastic frontiers using copulas
NHPP models with Markov switching for software reliability
Approximate regenerative-block bootstrap for Markov chains
Robust variable selection and estimation via adaptive elastic net S-estimators for linear regression
On Crevecoeur's bathtub-shaped failure rate model
Parallel exact sampling and evaluation of Gaussian Markov random fields
MCMC methods to approximate conditional predictive distributions
Bayesian inference for alpha
Reduced-rank vector generalized linear models with two linear predictors
On parsimonious models for modeling matrix data
Efficient inference for nonlinear state space models: An automatic sample size selection rule
Exact maximum likelihood estimation for non-stationary periodic time series models
Structure learning in Bayesian Networks using regular vines
Surveillance to detect emerging space-time clusters
Full Bayesian inference with hazard mixture models
Fuzzy multidimensional scaling
Bootstrap confidence intervals for multiple change points based on moving sum procedures
Sparse HDLSS discrimination with constrained data piling
Alternating direction method of multipliers for nonconvex fused regression problems
Minimum distance estimation of ARFIMA processes
GPU accelerated estimation of a shared random effect joint model for dynamic prediction
Including long- and short-term data in blinded sample size recalculation for binary endpoints
On time series with randomized unit root and randomized seasonal unit root
Sufficient dimension reduction constrained through sub-populations
On a nonlinear extension of the principal fitted component model
Robustness properties of A
Revisiting useful approaches to data-rich macroeconomic forecasting
EM algorithm in Gaussian copula with missing data
Block clustering with Bernoulli mixture models: Comparison of different approaches
Moment adjusted imputation for multivariate measurement error data with applications to logistic regression
A general hidden state random walk model for animal movement
Functional outlier detection and taxonomy by sequential transformations
Optimal designs for dose-response models with linear effects of covariates
A graph approach to generate all possible regression submodels
Analyzing a randomized experiment with imperfect compliance and ignorable conditions for missing data: theoretical and computational issues
A goodness of fit test for the Pareto distribution in the presence of Type II censoring, based on the cumulative hazard function
Efficient bootstrap with weakly dependent processes
Approximate repeated-measures shrinkage
On the evaluation of the joint distribution of order statistics
Wavelet based time-varying vector autoregressive modelling
State space mixed models for binary responses with scale mixture of normal distributions links
Variable selection for case-cohort studies with informatively interval-censored outcomes
Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data
Robustness via a mixture of exponential power distributions
The role of long memory in hedging effectiveness
Small-sample comparisons of confidence intervals for the difference of two independent binomial proportions
Bootstrap-based tests for deterministic time-varying coefficients in regression models
Joint latent class model of survival and longitudinal data: An application to CPCRA study
Approximate cost-efficient sequential designs for binary response models with application to switching measurements
Eliminating bias due to censoring in Kendall's tau estimators for quasi-independence of truncation and failure
Inference and mixture modeling with the Elliptical Gamma Distribution
Multiscale spectral analysis for detecting short and long range change points in time series
Optimal Bayesian clustering using non-negative matrix factorization
Efficient estimation of a semiparametric dynamic copula model
Computing and using residuals in time series models
Algorithms for compact letter displays: Comparison and evaluation
Analysis of high-dimensional repeated measures designs: The one sample case
Nonlinear tracking in a diffusion process with a Bayesian filter and the finite element method
A Bayesian semiparametric vector Multiplicative Error Model
Generating generalized inverse Gaussian random variates by fast inversion
Behavior of EWMA type control charts for small smoothing parameters
Estimators of error covariance matrices for small area prediction
Wavelet-based detection of outliers in financial time series
An advanced hidden Markov model for hourly rainfall time series
Marginal false discovery rate for a penalized transformation survival model
Estimating GARCH-type models with symmetric stable innovations: Indirect inference versus maximum likelihood
The joint model of the logistic model and linear random effect model - An application to predict orthostatic hypertension for subacute stroke patients
Association estimation for clustered failure time data with a cure fraction
Distribution of mutual information from complete and incomplete data
Estimation of the Birnbaum-Saunders regression model with current status data
A quantile approach to the power transformed location-scale model
On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation
Modelling non-stationarity in asymptotically independent extremes
Discriminant analysis of multivariate time series: Application to diagnosis based on ECG signals
Statistics to measure correlation for data mining applications
A note on split selection bias in classification trees
Variational inferences for partially linear additive models with variable selection
Derivatives diagnostics and robustness for smoothing splines
Hybrid Bayes factors for genome-wide association studies when a robust test is used
Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density
Deletion measures for generalized linear mixed effects models
Hybrid safe-strong rules for efficient optimization in lasso-type problems
Multi-task learning regression via convex clustering
Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors
Preliminary Phi-divergence test estimator for multinomial probabilities
Meta-heuristic algorithms for parameter estimation of semi-parametric linear regression models
Two-sided tolerance intervals in the exponential case: Corrigenda and generalizations
Likelihood analysis of the multivariate ordinal probit regression model for repeated ordinal responses
Horizon effect in the term structure of long-run risk-return trade-offs
Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation