2 years ago by Felix Cheysson
Estimation of Hawkes Processes from Binned Observations
7 years ago by Bijan Seyednasrollah
Identifying Foggy and Cloudy Images by Quantifying Haziness
2 months ago by Jørgen Bølstad
Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
3 years ago by Woo-Young Ahn
Hierarchical Bayesian Modeling of Decision-Making Tasks
6 years ago by Saurabh Mukhopadhyay
Hierarchical Bayesian Benefit-Risk Assessment Using Discrete Choice Experiment
3 months ago by Achmad Syahrul Choir
Hierarchical Bayes Small Area Estimation Model using 'Stan'
3 years ago by Alberto Lopez Moreno
Hierarchical Bayesian Space-Time Models for Gaussian Space-Time Data
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Interval Estimation of Linear Models with Heteroskedasticity
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Design and Analysis of Hierarchical Composite Endpoints
a month ago by Gualberto Segundo Agamez Montalvo
Hierarchical Cluster Analysis (Learning Didactically)
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Regression with a Large Number of Potential Explanatory Variables
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Estimate, Compare, and Visualize Healthcare Resource Utilization for Real-World Evidence
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Calculates Significance Criteria and Power for a Single Arm Trial
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Group Sequential Design for Historical Control Trial with Survival Outcome
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Using Historical Controls for Designing Phase II Clinical Trials
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'REST' API Client for Accessing Data on 'WEkEO HDA V2'
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Bayesian Analysis of Generalized Linear Models with Historical Data
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Change-Point Analysis of High-Dimensional Time Series via Binary Segmentation
3 years ago by Blanca Monroy-Castillo Developer
High Dimensional Bayesian Ridge Regression without MCMC
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Estimation of Conditional Average Treatment Effects with High-Dimensional Data
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High Dimensional Supervised Classification and Clustering
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Detect Change Points in Means of High Dimensional Data
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Distribution-Free Exact High Dimensional Low Sample Size k-Sample Tests
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Methods for Mediation Analysis with High-Dimensional Mediators
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Inference for High-Dimensional Mixture Transition Distribution Models
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High-Dimensional Location Testing with Normal-Reference Approaches
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Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers
a year ago by Alice Paul
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5 months ago by Camille FREVENT
Multivariate and Functional Spatial Scan Statistics
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Generate Samples from Multivariate Truncated Normal Distributions
10 months ago by Georg Keilbar
Inference on Many Jumps in Nonparametric Panel Regression Models
a year ago by Maria K. Janowska
Analysis of Hydrogen-Deuterium Exchange Mass-Spectrometry Data
3 months ago by Ryan Zomorrodi
Explore and Import 'Metopio' Health Atlas Data and Spatial Layers
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Financial Projections and Planning for Health Care Practices
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A Comprehensive Collection of Health and Human Motion Datasets
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The Machine Learning and AI Modeling Companion to 'healthyR'