yusuke1997/dblp-id-title huggingface dataset:
An Approach to Producing Space-Time Covariance Functions on Spheres
Computer Experiments With Both Qualitative and Quantitative Variables
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Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection
Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data
3-D Image Denoising by Local Smoothing and Nonparametric Regression
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An Exact Algorithm for Hierarchically Well-Formulated Subsets in Second-Order Polynomial Regression
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Engineering-Driven Statistical Adjustment and Calibration
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Bayesian Thinking: Modeling and Computation
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Model-Robust Factorial Designs
Nonlinear Time Series: Nonparametric and Parametric Methods
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Geostatistics and Petroleum Geology (2nd ed.)
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Statistical Evidence: A Likelihood Paradigm
A Modern Theory of Factorial Design
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Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring
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Comment: Ridge Regression and Regularization of Large Matrices
Forty Years of Technometrics : Past, Present, and Future
Dynamic Mixture of Experts Models for Online Prediction
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Model-Oriented Design of Experiments
Letter to the Editor Response to Easterling's Review of Modern Experimental Design
Gaussian Process Modeling of a Functional Output with Information from Boundary and Initial Conditions and Analytical Approximations
Robust Target Localization From Binary Decisions in Wireless Sensor Networks
A Nonlinear Random-Coefficients Model for Degradation Testing
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Bayesian Optimization via Exact Penalty
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data
Applied Categorical Analysis
Some Notes on the Nonnegative Garrote
Markov Chain Monte Carlo Estimation for the Two-Component Model
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Multivariate Quality Control: Theory and Applications
The Mahalanobis Distance for Functional Data With Applications to Classification
Data-Driven k -Sample Tests
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Reliability Verification, Testing, and Analysis in Engineering Design
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Advances in Stochastic Models for Reliability, Quality and Safety
Clarifications for "Fast Computing for Distance Covariance" by Xiaoming Huo and Gábor J. Székely
A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data
Bayesian Modeling and Inference for One-Shot Experiments
Model-Robust Two-Level Designs Using Coordinate Exchange Algorithms and a Maximin Criterion
Programming With Data: A Guide to the S Language
Practical Guide to Designed Experiments: A Unified Modular Approach
Statistical Monitoring of Clinical Trials: a Unified Approach
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A Review and Analysis of the Mahalanobis - Taguchi System
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A Simple General Method for Constructing Confidence Intervals for Functions of Variance Components
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Experimental Design for Engineering Dimensional Analysis
Spatiotemporal Modeling and Real-Time Prediction of Origin-Destination Traffic Demand
Order-Constrained ROC Regression With Application to Facial Recognition
Introduction to Data Science: Data Analysis and Prediction Algorithms With R
A Piecewise Single-Index Model for Dimension Reduction
Bayesian Methods for Nonlinear Classification and Regression
Statistical Rules of Thumb
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles
Constructing a Simulation Surrogate with Partially Observed Output
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Scan Statistics for the Online Detection of Locally Anomalous Subgraphs
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Sample Survey Theory: Some Pythagorean Perspectives
Nonparametric Bayesian Modeling and Estimation for Renewal Processes
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A General Modeling Framework for Network Autoregressive Processes
Applied Research in Uncertainty Modeling and Analysis
Adaptive Partially Observed Sequential Change Detection and Isolation
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Introduction to Probability and Statistics for Scientists and Engineers
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A Statistical Framework for Improved Automatic Flaw Detection in Nondestructive Evaluation Images
Using Angles to Identify Concentrated Multivariate Outliers
Modern Psychometrics With R
Adaptive Model Selection and Assessment for Exponential Family Distributions
Accelerated Event Times with Multiple Thresholds
Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision
An Introduction to Generalized Linear Models
The Spatial LASSO With Applications to Unmixing Hyperspectral Biomedical Images
A Generalized C p Criterion for Derivative Estimation
TSEC: A Framework for Online Experimentation under Experimental Constraints
An Upper Prediction Limit for the Arithmetic Mean of a Lognormal Random Variable
Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion
Statistical Modeling of the Effectiveness of Preventive Maintenance for Repairable Systems
Comment: Need for Guidelines on Appropriate Screening Designs for Practitioners
Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction
Analysis of Window-Observation Recurrence Data
Image Comparison Based On Local Pixel Clustering
A Change Point Approach for Phase I Analysis in Multistage Processes
System Reliability and Component Importance Under Dependence: A Copula Approach
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Screening Strategies in the Presence of Interactions
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Optimal Stopping With Exact Confidence on Remaining Defects
Markov Random Fields in Pattern Recognition for Semiconductor Manufacturing
Data Matters: Conceptual Statistics for a Random World
Scaled Predictor Envelopes and Partial Least-Squares Regression
Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments
Modeling Survival Data: Extending the Cox Model
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning
Robust Sparse Principal Component Analysis
Scientific Journeys: A Physicist Explores the Culture, History and Personalities of Science
Noncollapsing Space-Filling Designs for Bounded Nonrectangular Regions
On Comparing Several Spectral Densities
Decisions Under Uncertainty: Probabilistic Analysis for Engineering Decisions
Fourier Analysis of Time Series and Random Data: Analysis and Measurement Procedures
Augmenting the Unreturned for Field Data With Information on Returned Failures Only
Bayesian Nonparametric Joint Mixture Model for Clustering Spatially Correlated Time Series
Three Technomefrics Experimental Design Classics
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A New and Efficient Estimation Method for the Generalized Pareto Distribution
Comment: Some Enhancements Over the Augmented Lagrangian Approach
Regression Methods in Biostatistics: Linear, Logistic, Survival and Repeated Measures Models
Bayesian Methods for Planning Accelerated Repeated Measures Degradation Tests
Adaptive Convex Clustering of Generalized Linear Models With Application in Purchase Likelihood Prediction
Mathematical Modeling: Models, Analysis and Applications, 2nd Edition: by Sandip Banerjee, Boka Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2022, 433 pp., $130.00 (hbk), ISBN 978-1-138-49594-4
Chemometrics: From Basics to Wavelet Transform
Tensor Envelope Partial Least-Squares Regression
The Editor and Editor-Elect - On Papers in Information Science and Technology
Robust Parameter Design With Computer Experiments Using Orthonormal Polynomials
Physical Model-Assisted Probability of Detection of Flaws in Titanium Forgings Using Ultrasonic Nondestructive Evaluation
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Bayesian Computation Using Design of Experiments-Based Interpolation Technique
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Bayesian Optimal Single Arrays for Robust Parameter Design
Bayesian Additive Regression Tree Calibration of Complex High-Dimensional Computer Models
Applied Statistics With Microsoft Excel ®
The Information Theory of Comparisons, With Applications to Statistics and the Social Sciences
Nonlinear Signal Processing: A Statistical Approach
One-Sided Approximate Prediction Intervals for at Least p of m Observations From a Gamma Population at Each of r Locations
Control Charts and the Efficient Allocation of Sampling Resources
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin Yilmaz, Verena MarieBarthelmes, and Henrik Madsen, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xv + 366 pp., 35 b/w illustrations, $ 160.00 (hbk), ISBN 978-1-032-33460-8.: JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin Yilmaz, Verena MarieBarthelmes, and Henrik Madsen, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xv + 366 pp., 35 b/w illustrations, $ 160.00 (hbk), ISBN 978-1-032-33460-8
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Partitioning Degrees of Freedom in Hierarchical and Other Richly Parameterized Models
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Statistical Programing in SAS (2nd ed.)
Measurement System Analysis for Binary Data
Density Regression with Conditional Support Points
A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams
A Distribution-Free Multivariate Phase I Location Control Chart for Subgrouped Data from Elliptical Distributions
Statistical Regression With Measurement Error
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Introduction to Applied Statistics: a Modelling Approach
Applied Smoothing Techniques for Data Analysis
Comparing Spatial Predictions
A First Course in Multivariate Statistics
Methods for Characterizing and Comparing Populations of Shock Wave Curves
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Variable Selection in a Log-Linear Birnbaum-Saunders Regression Model for High-Dimensional Survival Data via the Elastic-Net and Stochastic EM
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction
Semifolding 2 k-P Designs
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Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 9781009016490: Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 9781009016490
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Applied Bayesian Modelling
Binomial Distribution Handbook for Scientists and Engineers
Nonlinear and Nonstationary Signal Processing
Multilevel (Hierarchical) Modeling: What It Can and Cannot Do
Simultaneous Determination of Tuning and Calibration Parameters for Computer Experiments
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs
Introductory Statistical Inference
Statistical Learning of Neuronal Functional Connectivity
Statistical Process Control Using a Dynamic Sampling Scheme
Time Series Analysis by State Space Methods
Screening Designs for Continuous and Categorical Factors
Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments
Testing Parameters of a Gamma Distribution for Small Samples
Sequential Change-Point Detection Methods for Nonstationary Time Series
Statistical Tests for Mixed Linear Models
Parametric Statistical Modeling by Minimum Integrated Square Error
Modeling and Analysis of Engineering Systems Data Using Flowgraph Models
Bootstrap Methods and Their Application
Statistical Inference Based on the Likelihood
Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach
Bivariate Functional Quantile Envelopes With Application to Radiosonde Wind Data
A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice
Robust Diagnostic Regression Analysis
Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability
An Adaptive Multivariate Functional Control Chart
Credit in Acceptance Sampling on Attributes
The Theory of the Design of Experiments
Bayesian Design of Experiments Using Approximate Coordinate Exchange
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets
Elements of Computational Statistics
Model-Robust Test Plans With Applications in Accelerated Life Testing
Robust Design for Order-of-Addition Experiments
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Optimal Foldover Plans for Two-Level Fractional Factorial Designs
Bootstrap Methods: A Practitioner's Guide
Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models
Factor Importance Ranking and Selection Using Total Indices
A Bifocal Measure of Expected Ambiguity in Bayesian Nonlinear Parameter Estimation
Regression and ANOVA: An Integrated Approach Using SAS Software
Practical Design of Generalized Likelihood Ratio Control Charts for Autocorrelated Data
Incorporating Prior Information in Optimal Design for Model Selection
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Two-Stage Leveraged Measurement System Assessment
Optimal Semifoldover Plans for Two-Level Orthogonal Designs
Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs
Online Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill
Introduction to Design and Analysis of Experiments
Adjustment of Measuring Devices With Linear Models
The Idle Column Method: Design Construction, Properties and Comparisons
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