yusuke1997/dblp-id-title huggingface dataset:
A note on the exponential Poisson distribution: A nested EM algorithm
Generalized method of moments estimation for cointegrated vector autoregressive models
Possibility theory and statistical reasoning
Bayesian Semiparametric ROC surface estimation under verification bias
Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling
Joint regression analysis of mixed-type outcome data via efficient scores
Special issue on variable selection and robust procedures
Estimating the number of components in a finite mixture model: the special case of homogeneity
Kernel logistic PLS: A tool for supervised nonlinear dimensionality reduction and binary classification
Support vector censored quantile regression under random censoring
Stable classification with applications to microarray data
Finite mixture regression model with random effects: application to neonatal hospital length of stay
Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections
SCOMDY models based on pair-copula constructions with application to exchange rates
l 1 regularized multiplicative iterative path algorithm for non-negative generalized linear models
Influential data cases when the C
An evolutionary algorithm for robust regression
Finite mixture of gamma distributions: A conjugate prior
Confidence intervals for quantiles in finite populations with randomized nomination sampling
The Poisson-exponential lifetime distribution
A novel HMM-based clustering algorithm for the analysis of gene expression time-course data
FDR control for linear log-contrast models with high-dimensional compositional covariates
Simulation-based Bayesian estimation of an affine term structure model
A goodness-of-fit test for normality based on polynomial regression
Parameter estimation for a discretely observed population process under Markov-modulation
Small-sample improvements in the statistical analysis of seasonally cointegrated systems
Sparse recovery via nonconvex regularized M-estimators over ℓq-balls
EGARCH models with fat tails, skewness and leverage
GAP: A graphical environment for matrix visualization and cluster analysis
Correcting MM estimates for "fat" data sets
Bootstrap quantile estimation via importance resampling
Optimal designs for conjoint experiments
A composite likelihood approach for spatially correlated survival data
A simulation study comparing methods for calculating confidence intervals for directly standardized rates
Reliability analysis and joint assessment of Brown-Proschan preventive maintenance efficiency and intrinsic wear-out
Weighted covariance matrix estimation
Dynamic seasonality in time series
Change of spatiotemporal scale in dynamic models
Modeling continuous distributions in hybrid Bayesian networks using mixtures of polynomials with tails
Second Issue for Computational Statistics for Clinical Research
Identifying differentially expressed genes in dye-swapped microarray experiments of small sample size
Estimation in the probit normal model for binary outcomes using the SAEM algorithm
A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: A simulation study
Reply to the Comment by O. Arslan on "Information matrices for Laplace and Pareto mixtures"
Induced smoothing for the semiparametric accelerated hazards model
Latent event history models for quasi-reaction systems
The volatility structure of the fixed income market under the HJM framework: A nonlinear filtering approach
Nonparametric estimation of species richness using discrete k-monotone distributions
Automatic identification of curve shapes with applications to ultrasonic vocalization
A maximum entropy type test of fit: Composite hypothesis case
Dirichlet component regression and its applications to psychiatric data
The DetS and DetMM estimators for multivariate location and scatter
Conditional Akaike information criterion for generalized linear mixed models
Linear rank tests for independence in bivariate distributions - power comparisons by simulation
High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood
Generalized semiparametrically structured mixed models
Information methods for model selection in linear mixed effects models with application to HCV data
On the performance of the flexible maximum entropy distributions within partially adaptive estimation
A Bayesian cluster validity index
Flexible integro-difference equation modeling for spatio-temporal data
Adjacency-based regularization for partially ranked data with non-ignorable missing
A Bayesian approach to paired comparison rankings based on a graphical model
Detecting and testing altered brain connectivity networks with k-partite network topology
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels
Testing, monitoring, and dating structural changes in exchange rate regimes
Variable selection in model-based clustering: A general variable role modeling
Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables
Nonparametric augmented probability weighting with sparsity
Robust selection of the number of change-points via FDR control
Approximate Bayesian computing for spatial extremes
Rank methods for the analysis of clustered data in diagnostic trials
Order statistics from inverse weibull distribution and associated inference
Optimal confidence interval for the largest normal mean with unknown variance
Minimum MSE regression estimator with estimated population quantities of auxiliary variables
On the sample mean after a group sequential trial
Testing the hypothesis of increasing hazard ratio in two samples
Nonparametric estimation of location and scale parameters
High resolution simulation of nonstationary Gaussian random fields
Weighted support vector machine for extremely imbalanced data
Shapiro-Wilk-type test of normality under nuisance regression and scale
Semiparametric Bayesian joint models of multivariate longitudinal and survival data
Input selection and shrinkage in multiresponse linear regression
New goodness-of-fit tests based on fiducial empirical distribution function
Non-linear properties of conditional returns under scale mixtures
Visualizing data through curvilinear representations of matrices
Generalized linear random effects models with varying coefficients
Statistical file-matching of non-Gaussian data: A game theoretic approach
Sensitivity analysis of the strain criterion for multidimensional scaling
Testing the equality of proportions for correlated otolaryngologic data
Significance tests for unsupervised pattern discovery in large continuous multivariate data sets
A simple and efficient method for variable ranking according to their usefulness for learning
Criteria for global minimum of sum of squares in nonlinear regression
Forecasting volatility under fractality, regime-switching, long memory and student-t innovations
A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data
Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs
Distributed iterative hard thresholding for variable selection in Tobit models
A Bayesian semiparametric model for volatility with a leverage effect
Comparisons of titer estimation methods for multiplexed pneumococcal opsonophagocytic killing assay
Maintenance of fast updated frequent pattern trees for record deletion
A Laplace-based model with flexible tail behavior
Flexible temporal expression profile modelling using the Gaussian process
On the efficient computation of robust regression estimators
Modelling nonlinear count time series with local mixtures of Poisson autoregressions
Global hypothesis test to simultaneously compare the predictive values of two binary diagnostic tests
A family of autoregressive conditional duration models applied to financial data
Simultaneously detecting spatiotemporal changes with penalized Poisson regression models
Corrigendum to "Bayesian test for asymmetry and nonstationarity in MTAR model with possibly incomplete data": [Computational Statistics and Data Analysis 49/4 (2005) 1192-1204]
Fusion regression methods with repeated functional data
Better biplots
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity
Comment on "Information matrices for Laplace and Pareto mixtures" by S. Nadarajah
Dynamic factor multivariate GARCH model
Sharp quadratic majorization in one dimension
Efficient direct sampling MCEM algorithm for latent variable models with binary responses
Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data
A Bayesian semi-parametric bivariate failure time model
Semiparametrically weighted robust estimation of regression models
The complementary exponential geometric distribution: Model, properties, and a comparison with its counterpart
Finding the relevant risk factors for asset pricing
Computing discrete mixtures of continuous distributions: noncentral chisquare, noncentral t
Rank dynamics for functional data
A covariate nonrandomized response model for multicategorical sensitive variables
A bridge between Tucker-1 and Carroll's generalized canonical analysis
Confidence interval construction for disease prevalence based on partial validation series
Strong orthogonal Latin hypercubes for computer experiments
Quantile dispersion graphs for evaluating and comparing designs for logistic regression models
Sparse group lasso and high dimensional multinomial classification
A weighted fuzzy c
Two-step estimation of time-varying additive model for locally stationary time series
A nonparametric measure of local association for two-way contingency tables
Reference analysis for Birnbaum-Saunders distribution
Stepwise estimation of common principal components
Bootstrapping longitudinal data with multiple levels of variation
A new minimal training sample scheme for intrinsic Bayes factors in censored data
Asymptotic variance estimation for the misclassification SIMEX
Estimating population sizes for capture-recapture sampling with binomial mixtures
Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm
Active set algorithms for estimating shape-constrained density ratios
A Bayesian MCMC approach to survival analysis with doubly-censored data
Forecasting with a noncausal VAR model
ℓ 0 -Regularized high-dimensional accelerated failure time model
A Markov model for estimating the cost-effectiveness of immunotherapy for newly diagnosed multiple myeloma patients
Flexible estimation of the state dwell-time distribution in hidden semi-Markov models
An efficient method of estimating the true value of a population characteristic from its discrepant estimates
Model-based clustering of high-dimensional data: A review
An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data
Subgroup analysis for heterogeneous additive partially linear models and its application to car sales data
Jackknife empirical likelihood inference for the Pietra ratio
Valid hypothesis testing in face of spatially dependent data using multi-layer perceptrons and sub-sampling techniques
The random Tukey depth
Estimation and hypothesis testing in BIB design and robustness
Time-varying spectral matrix estimation via intrinsic wavelet regression for surfaces of Hermitian positive definite matrices
A random walk approach for quantifying uncertainty in group sequential survival trials
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields
Chain plot: a tool for exploiting bivariate temporal structures
A fast compact algorithm for cubic spline smoothing
Optimum experimental designs for dynamic systems in the presence of correlated errors
A mixed effects least squares support vector machine model for classification of longitudinal data
A new lifetime distribution
Joint inference about sensitivity and specificity at the optimal cut-off point associated with Youden index
The iteratively reweighted estimating equation in minimum distance problems
Frequentist delta-variance approximations with mixed-effects models and TMB
Two-way imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation
Bayesian projection approaches to variable selection in generalized linear models
Bootstrap prediction intervals for autoregressive time series
A more powerful test of equality of high-dimensional two-sample means
Indices for covariance mis-specification in longitudinal data analysis with no missing responses and with MAR drop-outs
Estimation of multivariate tail quantities
A Bayesian regression model for multivariate functional data
Bayesian variable selection for Poisson regression with underreported responses
Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models
Better initial configurations for metric multidimensional scaling
Fast and efficient causal inference in large-scale data via subsampling and projection calibration
Reducing the computational cost of the ECF using a nuFFT: A fast and objective probability density estimation method
Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function
Meta-analytic-predictive use of historical variance data for the design and analysis of clinical trials
Independent Multiresolution Component Analysis and Matching Pursuit
Robust estimators of accelerated failure time regression with generalized log-gamma errors
Bayesian modeling of missing data in clinical research
Recursive nonparametric predictive for a discrete regression model
Generalised Procrustes Analysis with optimal scaling: Exploring data from a power supplier
Local influence for Student-t partially linear models
Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm
A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables
Frequentist Model Averaging with missing observations
Bayesian inference in nonlinear mixed-effects models using normal independent distributions
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Mapping electron density in the ionosphere: A principal component MCMC algorithm
Nonlinear predictive directions in clinical trials
Variable selection for multiply-imputed data with penalized generalized estimating equations
Nonparametric estimation of the threshold at an operating point on the ROC curve
Weighted LAD-LASSO method for robust parameter estimation and variable selection in regression
Mixture cure models for multivariate survival data
Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution
Latent class model diagnostics - a review and some proposals
On a fast, robust estimator of the mode: Comparisons to other robust estimators with applications
Sequential hierarchical Bayesian model and particle filter estimation with two-step RJMCMC resampling
Multiple hypothesis testing and clustering with mixtures of non-central t-distributions applied in microarray data analysis
A class of composite designs for response surface methodology
On the Marshall-Olkin transformation as a skewing mechanism
Varying-coefficient models for dynamic networks
Dealing with reciprocity in dynamic stochastic block models
Model free feature screening for ultrahigh dimensional data with responses missing at random
Detecting an innovative outlier in a set of time series
Some tests for detecting trends based on the modified Baumgartner-Weiß-Schindler statistics
Multi-task optimization with Bayesian neural network surrogates for parameter estimation of a simulation model
Test-inversion confidence intervals for estimands in contingency tables subject to equality constraints
Seasonal FIEGARCH processes
The parallel coordinate plot in action: design and use for geographic visualization
The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation
Communication-efficient distributed M -estimation with missing data
Confidence intervals for a common mean with missing data with applications in an AIDS study
Semiparametric regression analysis of panel count data with informative observation times
Model modification in structural equation modeling by imposing constraints
Generalized nonparametric smoothing with mixed discrete and continuous data
Time-dependent Poisson reduced rank models for political text data analysis
A high-dimension two-sample test for the mean using cluster subspaces
Testing for positive association in contingency tables with fixed margins
A Bayesian approach to seriation problems in archaeology
A Bayesian approach for analyzing a cluster-randomized trial with adjustment for risk misclassification
Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes
On finite-sample robustness of directional location estimators
A significance test of the RV coefficient in high dimensions
Cluster-robust estimators for multivariate mixed-effects meta-regression
EM algorithms for multivariate Gaussian mixture models with truncated and censored data
A distribution-free test of independence based on mean variance index
A statistical approach to high-throughput screening of predicted orthologs
Estimating turning points of the failure rate of the extended Weibull distribution
Bayesian pollution source identification via an inverse physics model
Embedding and learning with signatures
Bayesian group bridge for bi-level variable selection
Estimation in hazard regression models under ordered departures from proportionality
Point process models for novelty detection on spatial point patterns and their extremes
Modelling the US, UK and Japanese unemployment rates: Fractional integration and structural breaks
Bootstrap-based statistical inference for linear mixed effects under misspecifications
Testing for the number of states in hidden Markov models
A new distribution with decreasing, increasing and upside-down bathtub failure rate
Special Issue on Advances in Data Mining and Robust Statistics
Tolerance limits under normal mixtures: Application to the evaluation of nuclear power plant safety and to the assessment of circular error probable
Longitudinal nominal data analysis using marginalized models
Coverage probability of prediction intervals for discrete random variables
Confidence intervals of the hazard rate function for discrete distributions using mixtures
Multilevel rejection sampling for approximate Bayesian computation
INDSCAL
Spline nonparametric quasi-likelihood regression within the frame of the accelerated failure time model
AMCMC: An R interface for adaptive MCMC
Fuzzy and possibilistic clustering for fuzzy data
Optimal exact tests for multiple binary endpoints
A switching state-space transmission model for tracking epidemics and assessing interventions
Bandwidth choice for robust nonparametric scale function estimation
Sample sizes required to detect interactions between two binary fixed-effects in a mixed-effects linear regression model
Testing the homogeneity of the means of several groups of count data in the presence of unequal dispersions
Extremal financial risk models and portfolio evaluation
Logistic regression with weight grouping priors
Efficient permutation testing of variable importance measures by the example of random forests
SIMD parallel MCMC sampling with applications for big-data Bayesian analytics
Data privacy using an evolutionary algorithm for invariant PRAM matrices
Generalised long-memory GARCH models for intra-daily volatility
Mining and visualising ordinal data with non-parametric continuous BBNs
Critical point computations for one-sided and two-sided pairwise comparisons of three treatment means
A coordinate descent MM algorithm for fast computation of sparse logistic PCA
A finite mixture of multiple discrete distributions for modelling heaped count data
The use of cumulative sums for detection of changepoints in the rate parameter of a Poisson Process
Hierarchical estimation of parameters in Bayesian networks
A multivariate control quantile test using data depth
A high-dimensional spatial rank test for two-sample location problems
Core Shape modelling of a set of curves
Marginal M-quantile regression for multivariate dependent data
Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example
Robust designs for dose-response studies: Model and labelling robustness
A random effects four-part model, with application to correlated medical costs
Quantile regression with doubly censored data
General sparse multi-class linear discriminant analysis
Exactly computing bivariate projection depth contours and median
Hierarchical model for forecasting the outcomes of binary referenda
Online and offline robust multivariate linear regression
Discrete particle swarm optimization for constructing uniform design on irregular regions
Robust tests for gene-environment interaction in case-control and case-only designs
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
Variational inference for high dimensional structured factor copulas
Influence diagnostics in generalized symmetric linear models
On the statistical detection of clusters in undirected networks
Guaranteed conditional ARL performance in the presence of autocorrelation
Parallel cross-validation: A scalable fitting method for Gaussian process models
Semiparametric model for the dichotomized functional outcome after stroke: The Northern Manhattan Study
Trimmed bagging
Clustering of discretely observed diffusion processes
Parameter estimation for a type of nonlinear stochastic models observed with error
High-throughput DNA methylation datasets for evaluating false discovery rate methodologies
A spectral clustering method for microarray data
Multiple comparisons for survival data with propensity score adjustment
Generalised interval estimation in the random effects meta regression model
A multi-rater nonparametric test of agreement and corresponding agreement plot
Statistical modeling of Dengue transmission dynamics with environmental factors
Improved GMM estimation of panel VAR models
A large deviation approach to normality testing
Computing efficient exact designs of experiments using integer quadratic programming
Hierarchical models for repeated binary data using the IBF sampler
A generalized likelihood ratio test for normal mean when p is greater than n
Estimation of the ROC curve from the Lehmann family
Bayesian approaches to the model selection problem in the analysis of latent stage-sequential process
Assessment of observer agreement for matched repeated binary measurements
Calibrated regression estimation using empirical likelihood under data fusion
Goodness-of-fit testing for normal mixture densities
Partial least-squares vs. Lanczos bidiagonalization - I: analysis of a projection method for multiple regression
A unifying model involving a categorical and/or dimensional reduction for multimode data
Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula
Mean shift-based clustering for misaligned functional data
Balancing covariates in multi-arm trials via adaptive randomization
Penalized principal logistic regression for sparse sufficient dimension reduction
Bayesian density estimation from grouped continuous data
Inferences and power analysis concerning two negative binomial distributions with an application to MRI lesion counts data
Exact nonparametric meta-analysis for multiple independent doubly Type-II censored samples
Analysis of feature selection stability on high dimension and small sample data
Optimal sequential detection by sparsity likelihood
Tuning parameter selection for penalized estimation via R 2
Tests for regression models with heteroskedasticity of unknown form