yusuke1997/dblp-id-title huggingface dataset:
Robust multiscale estimation of time-average variance for time series segmentation
Evaluating volatility forecasts in option pricing in the context of a simulated options market
Robust estimators and tests for bivariate copulas based on likelihood depth
Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses
Blocking response surface designs
Archimedean copula estimation using Bayesian splines smoothing techniques
On a new NBUE property in multivariate sense: An application
Estimating discrete Markov models from various incomplete data schemes
Reweighted kernel density estimation
Modeling and inference for multivariate time series of counts based on the INGARCH scheme
Visualizing the effects of a changing distance on data using continuous embeddings
Simultaneous confidence intervals for comparisons of several multinomial samples
Improved inference on a scalar fixed effect of interest in nonlinear mixed-effects models
Distribution-free exponentially weighted moving average control charts for monitoring unknown location
An accurate computational approach for partial likelihood using Poisson-binomial distributions
Wald-based spatial scan statistics for cluster detection
Conditional score matching for high-dimensional partial graphical models
Approximate forward-backward algorithm for a switching linear Gaussian model
Improved Bayesian inference for the stochastic block model with application to large networks
Modelling series of studies with a common structure
A multiple imputation approach for flexible modelling of interval-censored data with missing and censored covariates
Erratum to "On the performance of some non-parametric estimators of the conditional survival function with interval-censored data" [Comput. Statstic Data Anal. 55 (12) (2011) 3355-3364]
Mapping malaria risk in West Africa using a Bayesian nonparametric non-stationary model
One stage multiple comparisons with the average for exponential location parameters under heteroscedasticity
Nonstandard operator precedence in Excel
Unified model-free interaction screening via CV-entropy filter
Missing data imputation, matching and other applications of random recursive partitioning
Improving the reliability of bootstrap tests with the fast double bootstrap
A novel method for estimating the common signals for consensus across multiple ranked lists
Tests of fit for the three-parameter lognormal distribution
Cox proportional hazards models with frailty for negatively correlated employment processes
Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine
Robust descriptive discriminant analysis for repeated measures data
Applications of TLS and related methods in the environmental sciences
On the use of random forest for two-sample testing
On estimation based on progressive first-failure-censored sampling
Kernel estimation for adjusted p
Bayesian identification of clustered outliers in multiple regression
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis
Mixture of functional linear models and its application to CO 2 -GDP functional data
State space description of national economies: The V4 countries
Improved linear regression prediction by transfer learning
Semiparametric analysis of clustered interval-censored survival data with a cure fraction
Techniques for generic probabilistic inversion
Small area prediction for a unit-level lognormal model
Functional density synchronization
Wavelet-based procedures for proteomic mass spectrometry data processing
Simultaneous confidence intervals based on the percentile bootstrap approach
Multiclass classification and gene selection with a stochastic algorithm
Influence diagnostics for random effect survival models: Application to a recurrent infection study for kidney patients on portable dialysis
Convergence of the sequence of parameters generated by alternating least squares algorithms
Balanced estimation for high-dimensional measurement error models
Fast Bayesian inference on spectral analysis of multivariate stationary time series
The circular quantile residual
Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables
Simulation-based approach to estimation of latent variable models
Semi-parametric estimation of Brown-Proschan preventive maintenance effects and intrinsic wear-out
A fast algorithm for computing least-squares cross-validations for nonparametric conditional kernel density functions
Robustness against separation and outliers in logistic regression
Confidence intervals for spatial scan statistic
Description length and dimensionality reduction in functional data analysis
Estimating scale-invariant directed dependence of bivariate distributions
Quasi-plus sampling edge correction for spatial point patterns
Predictive performance of psychological tests: Is it better to use items than subscales?
Estimating cell probabilities under order-restricted odds ratios
Testing structural equation models: The effect of kurtosis
One-step approximations for detecting regime changes in the state space model with application to the influenza data
A family of block-wise one-factor distributions for modeling high-dimensional binary data
Manly transformation in finite mixture modeling
Information ratio test for model misspecification on parametric structures in stochastic diffusion models
A hierarchical modeling approach for clustering probability density functions
Hypothesis test in high dimensional multi-response linear models
A Stahel-Donoho estimator based on huberized outlyingness
Simplicial principal component analysis for density functions in Bayes spaces
Bayesian sampling plans for exponential distribution based on uniform random censored data
Approximate methods in Bayesian point process spatial models
Full and conditional likelihood approaches for hazard change-point estimation with truncated and censored data
Model-sensitive sequential optimal designs
Optimal experimental designs for estimating the drug combination index in toxicology
Flexible quantile contour estimation for multivariate functional data: Beyond convexity
Restricted methods in symmetrical linear regression models
Adaptive functional mixed NHPP models for the analysis of recurrent event panel data
A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance
Case deletion diagnostics for GMM estimation
Robust boosting for regression problems
Bayesian variable selection under the proportional hazards mixed-effects model
Maximum penalized likelihood estimation of additive hazards models with partly interval censoring
A Bayesian analysis of dual autoradiographic images
Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients
New approaches to compute Bayes factor in finite mixture models
Recursive estimation of nonparametric regression with functional covariate
Testing the significance of index parameters in varying-coefficient single-index models
A note on the exact test based on the Baumgartner-Weiß-Schindler statistic in the presence of ties
Half-life estimation based on the bias-corrected bootstrap: A highest density region approach
Two approximation methods to synthesize the power spectrum of fractional Gaussian noise
Evaluating latent class analysis models in qualitative phenotype identification
Lepage type statistic based on the modified Baumgartner statistic
Robust fitting of mixture regression models
Statistical information approaches for the modelling of the epileptic brain
Nonparametric multiple-comparison methods for simply ordered medians
Stock and bond return predictability: the discrimination power of model selection criteria
Bayesian estimation of the Gaussian mixture GARCH model
Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs
Data augmentation strategies for the Bayesian spatial probit regression model
Quantile regression without the curse of unsmoothness
Random forest for ordinal responses: Prediction and variable selection
Test of fit for a Laplace distribution against heavier tailed alternatives
L 2 E estimation of mixture complexity for count data
Model detection and estimation for varying coefficient panel data models with fixed effects
Identifying influential multinomial observations by perturbation
Regression adjustment for treatment effect with multicollinearity in high dimensions
Bayesian mixture of autoregressive models
Nonparametric Markov chain bootstrap for multiple imputation
Statistical simulation and the distribution of distances between identical elements in a random sequence
A robust ratio estimator of gene expression via inverse-variance weighting for cDNA microarray images
Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines
Association study for the relationship between a haplotype or haplotype set and multiple quantitative responses
Linear Bayes estimator for the two-parameter exponential family under type II censoring
The likelihood ratio test for hidden Markov models in two-sample problems
Integrated subgroup identification from multi-source data
Bayesian model selection for high-dimensional Ising models, with applications to educational data
Approximate predictive densities and their applications in generalized linear models
Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays
Change-point detection for multivariate nonparametric regression with deep neural networks
On the power transformation of kernel-based tests for serial correlation in vector time series: Some finite sample results and a comparison with the bootstrap
On the semi-varying coefficient dynamic panel data model with autocorrelated errors
Statistical inference for partially linear stochastic models with heteroscedastic errors
New prediction method for the mixed logistic model applied in a marketing problem
Interpretable dimension reduction for classifying functional data
Local inference for functional linear mixed models
Modified spatial scan statistics using a restricted likelihood ratio for ordinal outcome data
Combining heterogeneous spatial datasets with process-based spatial fusion models: A unifying framework
Modeling dichotomous item responses with free-knot splines
Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures
Algorithms for approximate linear regression design with application to a first order model with heteroscedasticity
Variational approximations in Bayesian model selection for finite mixture distributions
Multiple change-point detection of multivariate mean vectors with the Bayesian approach
Point set stratification and Delaunay depth
Cause-specific hazard regression for competing risks data under interval censoring and left truncation
Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits
Performance of balanced two-stage empirical predictors of realized cluster latent values from finite populations: A simulation study
Asymptotical distributions, parameters and coverage probabilities of tolerance limits
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA
Adaptive bandwidth selection in the long run covariance estimator of functional time series
Latent-class trajectory modeling with a heterogeneous mean-variance relation
Robust methods for heteroskedastic regression
The beta-binomial distribution for estimating the number of false rejections in microarray gene expression studies
Bootstrap confidence sets for the Aumann mean of a random closed set
Bayesian prediction of the transient behaviour and busy period in short- and long-tailed GI/G/1 queueing systems
Bias reduction in the population size estimation of large data sets
Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval
Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
On sovereign credit migration: A study of alternative estimators and rating dynamics
Classification of "cured" individuals in survival analysis: the mixture approach to the diagnostic-prognostic problem
Jeffreys priors for mixture estimation: Properties and alternatives
Credal ensembles of classifiers
Progressively Type-II censored competing risks data from Lomax distributions
Robust estimation and confidence interval in meta-regression models
Estimating a non-homogeneous Gompertz process with jumps as model of tumor dynamics
A comparative study of the finite-sample performance of some portmanteau tests for randomness of a time series
Conditional tests for homogeneity of zero-inflated Poisson and Poisson-hurdle distributions
Special issue on advances in survival analysis
Estimation, imputation and prediction for the functional linear model with scalar response with responses missing at random
Outlier detection and least trimmed squares approximation using semi-definite programming
Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion
A new exponential-type distribution with constant, decreasing, increasing, upside-down bathtub and bathtub-shaped failure rate function
A Dirichlet stochastic block model for composition-weighted networks
Unified computational methods for regression analysis of zero-inflated and bound-inflated data
Point and interval estimation for extreme-value regression model under Type-II censoring
Kernel density estimation with a Markov chain Monte Carlo sample
Fast estimation of multiple group generalized linear latent variable models for categorical observed variables
Exact designs for order-of-addition experiments under a transition-effect model
Algorithms for additive clustering of rectangular data tables
The Hawkes process with renewal immigration & its estimation with an EM algorithm
A Bayesian model for longitudinal circular data based on the projected normal distribution
A bivariate Birnbaum-Saunders regression model
Improving the efficiency of individualized designs for the mixed logit choice model by including covariates
Assessing local influence for nonlinear structural equation models with ignorable missing data
Pursuit of dynamic structure in quantile additive models with longitudinal data
Fixed-effect variable selection in linear mixed models using R 2 statistics
Iterative GMM for partially linear single-index models with partly endogenous regressors
Diagnostics analysis for log-Birnbaum-Saunders regression models
Bayesian selection of fertilizer level when crop price depends on quality
Separation index and partial membership for clustering
Max-sum test based on Spearman's footrule for high-dimensional independence tests
On simulating Balakrishnan skew-normal variates
The Frèchet's metric as a measure of influence in multivariate linear models with random errors elliptically distributed
Integrative weighted group lasso and generalized local quadratic approximation
Fast computation of high-dimensional multivariate normal probabilities
Kernel density estimation for compositional data with zeros via hypersphere mapping
EM algorithm for one-shot device testing under the exponential distribution
An algorithm for generating positively correlated Beta-distributed random variables with known marginal distributions and a specified correlation
Bias and covariance of the least squares estimate in a structured errors-in-variables problem
Improved testing inference in mixed linear models
Dealing with overdispersion in multivariate count data
The Cicchetti-Allison weighting matrix is positive definite
Student Sliced Inverse Regression
Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data
Efficient computation of sparse and robust maximum association estimators
An exact polynomial time algorithm for computing the least trimmed squares estimate
Analysis of zero-inflated clustered count data: A marginalized model approach
Heterogeneity-aware transfer learning for high-dimensional linear regression models
The specification of rank reducing observation sets in experimental design
Bayesian multiple comparisons of simply ordered means using priors with a point mass
Improved variance estimation of maximum likelihood estimators in stable first-order dynamic regression models
Sparse factor analysis for categorical data with the group-sparse generalized singular value decomposition
An extension of the Williams trend test to general unbalanced linear models
Impartial trimmed k-means for functional data
Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization
Design-based estimation for geometric quantiles with application to outlier detection
The analysis of marked point patterns evolving through space and time
Bayesian Value-at-Risk and expected shortfall forecasting via the asymmetric Laplace distribution
Robust model selection using fast and robust bootstrap
Fitting the generalized Pareto distribution to data using maximum goodness-of-fit estimators
Shrinkage and model selection with correlated variables via weighted fusion
Detecting random-effects model misspecification via coarsened data
Comparing correlated ROC curves for continuous diagnostic tests under density ratio models
Estimation and test in long-term survival mixture models
Robust regression diagnostics with data transformations
One point per cluster spatially balanced sampling
Design of local fuzzy models using evolutionary algorithms
Nonparametric estimation of conditional ROC curves: Application to discrimination tasks in computerized detection of early breast cancer
A semiparametric scale-mixture regression model and predictive recursion maximum likelihood
Simultaneous dimension reduction and variable selection in modeling high dimensional data
Transformation approaches for the construction of Weibull prediction interval
Bayesian inference of a directional brain network model for intracranial EEG data
Estimating the functional form of a continuous covariate's effect on survival time
Multi-population sufficient dimension reduction
Conditional independence test in factor models via projection correlation
Sliced mean variance-covariance inverse regression
Learning algorithms may perform worse with increasing training set size: Algorithm-data incompatibility
Adjusted R 2 -type measures for Tweedie models
Robust closed-form estimators for the integer-valued GARCH (1, 1) model
Teaching statistics with Excel 2007 and other spreadsheets
Forecasting the US unemployment rate
Erratum to "Improved point and interval estimation for a beta regression model" [Comput. Statist. Data Anal. 51 (2006) 960-981]
Bounded optimal knots for regression splines
Regional business cycles in Italy
An improved Akaike information criterion for state-space model selection
On the applicability of stochastic volatility models
Curves discrimination: a nonparametric functional approach
Community detection via an efficient nonconvex optimization approach based on modularity
Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression
Optimal acceptance sampling plans for log-location-scale lifetime models using average risks
Confidence interval estimation for lognormal data with application to health economics
Inference about clustering and parametric assumptions in covariance matrix estimation
Generalized exponential-power series distributions
Comparing two independent samples using the risk difference under inverse sampling
Entropy-based test for generalised Gaussian distributions
Improving mixture tree construction using better EM algorithms
Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market
A deflation-adjusted Bayesian information criterion for selecting the number of clusters in K-means clustering
On Birnbaum-Saunders inference
A minimum Hellinger distance estimator for stochastic differential equations: An application to statistical inference for continuous time interest rate models
An efficient proposal distribution for Metropolis-Hastings using a B-splines technique
Using differential evolution to improve the accuracy of bank rating systems
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme
Approximate low-rank factorization with structured factors
Small area estimation using skew normal models
Asymptotic inference under heteroskedasticity of unknown form
Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation
Quasi-likelihood estimation of the single index conditional variance model
Iterated importance sampling in missing data problems
Simple VARs cannot approximate Markov switching asset allocation decisions: An out-of-sample assessment
Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions
The marginal likelihood of dynamic mixture models
Parameter estimation for the 4-parameter Asymmetric Exponential Power distribution by the method of L-moments using R
Data augmentation and parameter expansion for independent or spatially correlated ordinal data
A model for integer-valued time series with conditional overdispersion
Discovering causal structures in corrupted data: frugality in anchored Gaussian DAG models
Entropy test and residual empirical process for autoregressive conditional duration models
Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution
Testing for independence in heavy-tailed time series using the codifference function
Finding approximate solutions to combinatorial problems with very large data sets using BIRCH
Exact optimal inference in regression models under heteroskedasticity and non-normality of unknown form
Gaussian Bayesian network comparisons with graph ordering unknown
Bootstrap confidence intervals for principal response curves
Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects
Comparison of conditional power criteria for early termination of clinical trials
Confidence intervals for parameters in high-dimensional sparse vector autoregression
A null space method for over-complete blind source separation
A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking
Parsimonious parameterization of correlation matrices using truncated vines and factor analysis
Efficient and robust estimation of regression and scale parameters, with outlier detection
A simple generalisation of the Hill estimator
Diagnostic checking of the vector multiplicative error model
An extension of Chao's estimator of population size based on the first three capture frequency counts
On Liu's simplicial depth and Randles' interdirections
The coefficient of concordance for vague data
Joint estimation of multiple Gaussian graphical models across unbalanced classes
Testing the constancy of the variance for time series with a trend
Evaluating the density of ratios of noncentral quadratic forms in normal variables
Contaminated Variance-Mean mixing model
A time series bootstrap procedure for interpolation intervals
Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density
Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use
Dependent mixtures of Dirichlet processes
On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept
Testing sufficiency for transfer learning
Variational Bayesian functional PCA
Modelling trends in road accident frequency - Bayesian inference for rates with uncertain exposure
Projection expectile regression for sufficient dimension reduction