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On the Oracle Properties of Bayesian Random Forest for Sparse High-Dimensional Gaussian Regression
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Calcutta Statistical Association Bulletin
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Variable selection – A review and recommendations for the practicing statistician
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Bayesian Regularized Neural Network for Forecasting Naira-USD Exchange Rate
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Statistics for High-Dimensional Data
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BayesRandomForest: An R Implementation of Bayesian Random Forest for Regression Analysis of High-Dimensional Data
inferredcites →https://doi.org/10.1007/s11222-017-9767-1openalex-snapshot
Bayesian Additive Regression Trees using Bayesian model averaging
inferredcites →https://doi.org/10.1007/s11634-016-0276-4openalex-snapshot
A computationally fast variable importance test for random forests for high-dimensional data
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An efficient random forests algorithm for high dimensional data classification
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Journal of the American Statistical Association
inferredcites →https://doi.org/10.1016/j.aap.2020.105623openalex-snapshot
A new spatial count data model with Bayesian additive regression trees for accident hot spot identification
inferredcites →https://doi.org/10.1016/j.ccr.2004.05.015openalex-snapshot
A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen
inferredcites →https://doi.org/10.1016/j.kjs.2023.06.008openalex-snapshot
Bayesian weighted random forest for classification of high-dimensional genomics data
inferredcites →https://doi.org/10.1038/s41571-020-00449-xopenalex-snapshot
Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy
inferredcites →https://doi.org/10.1057/s41274-016-0127-xopenalex-snapshot
Variable selection methods for multi-class classification using signomial function
inferredcites →https://doi.org/10.1063/5.0075372openalex-snapshot
Shrinkage based variable selection techniques for the sparse Gaussian regression model: A Monte-Carlo simulation comparative study
inferredcites →https://doi.org/10.1080/00031305.2021.1905062openalex-snapshot
A Geometric Derivation of the Cantor Distribution
inferredcites →https://doi.org/10.1080/00031305.2022.2107568openalex-snapshot
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression
inferredcites →https://doi.org/10.1080/00949655.2022.2102633openalex-snapshot
Bayesian additive regression trees in spatial data analysis with sparse observations
inferredcites →https://doi.org/10.1080/01621459.1987.10478490openalex-snapshot
Empirical Bayes Confidence Intervals Based on Bootstrap Samples
inferredcites →https://doi.org/10.1080/01621459.1998.10473750openalex-snapshot
Bayesian CART Model Search
inferredcites →https://doi.org/10.1080/01621459.2016.1264957openalex-snapshot
Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection
inferredcites →https://doi.org/10.1093/bioinformatics/btq134openalex-snapshot
Permutation importance: a corrected feature importance measure
inferredcites →https://doi.org/10.1093/jnci/djq524openalex-snapshot
Gene Pathways Associated With Prognosis and Chemotherapy Sensitivity in Molecular Subtypes of Breast Cancer
inferredcites →https://doi.org/10.1109/tcbb.2021.3089417openalex-snapshot
Enriched Random Forest for High Dimensional Genomic Data
inferredcites →https://doi.org/10.1111/biom.13107openalex-snapshot
Semiparametric mixed‐scale models using shared Bayesian forests
inferredcites →https://doi.org/10.1111/iere.12619openalex-snapshot
TAIL FORECASTING WITH MULTIVARIATE BAYESIAN ADDITIVE REGRESSION TREES
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1111/rssb.12293openalex-snapshot
Bayesian Regression Tree Ensembles that Adapt to Smoothness and Sparsity
inferredcites →https://doi.org/10.1126/scitranslmed.3000251openalex-snapshot
Airway PI3K Pathway Activation Is an Early and Reversible Event in Lung Cancer Development
inferredcites →https://doi.org/10.1177/0008068316634982openalex-snapshot
High-dimensional Bayesian Variable Selection Methods: A Comparison Study
inferredcites →https://doi.org/10.1186/1471-2164-16-s2-s5openalex-snapshot
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests
inferredcites →https://doi.org/10.1186/s12711-016-0219-8openalex-snapshot
Genome-wide prediction using Bayesian additive regression trees
inferredcites →https://doi.org/10.1198/016214501753382273openalex-snapshot
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
inferredcites →https://doi.org/10.1198/016214506000000735openalex-snapshot
The Adaptive Lasso and Its Oracle Properties
inferredcites →https://doi.org/10.1198/jasa.2011.ap09769openalex-snapshot
Dynamic Trees for Learning and Design
inferredcites →https://doi.org/10.1201/9780429246593openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1214/09-aoas285openalex-snapshot
BART: Bayesian additive regression trees
inferredcites →https://doi.org/10.1214/14-aoas755openalex-snapshot
Variable selection for BART: An application to gene regulation
inferredcites →https://doi.org/10.1214/16-ba999openalex-snapshot
Efficient Metropolis–Hastings Proposal Mechanisms for Bayesian Regression Tree Models
inferredcites →https://doi.org/10.1214/21-ba1285openalex-snapshot
Bayesian Survival Tree Ensembles with Submodel Shrinkage
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.1214/aos/1024691079openalex-snapshot
Arcing classifier (with discussion and a rejoinder by the author)
inferredcites →https://doi.org/10.1501/commua1_0000000797openalex-snapshot
Predictive performances of implicitly and explicitly robust classifiers on high dimensional data
inferredcites →https://doi.org/10.15388/informatica.2016.84openalex-snapshot
Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey
inferredcites →https://doi.org/10.17713/ajs.v48i2.806openalex-snapshot
Bayesian Variable Selection for Multiclass Classification using Bootstrap Prior Technique
inferredcites →https://doi.org/10.18637/jss.v033.i01openalex-snapshot
Regularization Paths for Generalized Linear Models via Coordinate Descent
inferredcites →https://doi.org/10.22237/jmasm/1509496440openalex-snapshot
Bayesian Hypothesis Testing of Two Normal Samples using Bootstrap Prior Technique
inferredcites →https://doi.org/10.22237/jmasm/1604188980openalex-snapshot
Bayesian Analysis of Extended Cox Model with Time-Varying Covariates Using Bootstrap Prior
inferredcites →https://doi.org/10.3390/cancers13020316openalex-snapshot
A High-Dimensional Window into the Micro-Environment of Triple Negative Breast Cancer
inferredcites →https://doi.org/10.3390/cancers13050991openalex-snapshot
Random Forest Modelling of High-Dimensional Mixed-Type Data for Breast Cancer Classification
inferredcites →https://doi.org/10.4135/9781412952644.n235openalex-snapshot
Journal of Modern Applied Statistical Methods
inferredcites →https://doi.org/10.5336/biostatic.2022-89894openalex-snapshot
Bayesian Additive Regression Trees for Predicting Colon Cancer: Methodological Study (Validity Study)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Machine learning model for predicting geothermal in Xianning, China
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Robustness of Bayesian Random Forest in High-Dimensional Analysis with Missing Data
inferred← citeshttps://doi.org/10.20944/preprints202406.1100.v1openalex-snapshot
Predicting Student Performance Using Ensemble Models and Learning Analytics Techniques
inferred← citeshttps://doi.org/10.20944/preprints202406.1660.v1openalex-snapshot
Bayesian Analysis of Exponentiated-Weibull Weibull Distribution for Modelling Student Dropout Times
inferred← citeshttps://doi.org/10.3390/math12101425openalex-snapshot
Eigenvalue Distributions in Random Confusion Matrices: Applications to Machine Learning Evaluation
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Hybrid Random Feature Selection and Recurrent Neural Network for Diabetes Prediction
inferred← citeshttps://doi.org/10.3390/math13060956openalex-snapshot
Bayesian Random Forest with Multiple Imputation by Chain Equations for High-Dimensional Missing Data: A Simulation Study
inferred← citeshttps://doi.org/10.3390/math13183041openalex-snapshot
Random Forest Adaptation for High-Dimensional Count Regression
inferred← citeshttps://doi.org/10.48084/etasr.10048openalex-snapshot
Smart Health Monitoring for Predicting Heart Disease using IoT-Fog-Cloud Computing Model
inferred← citeshttps://doi.org/10.48084/etasr.8909openalex-snapshot
Comparison of Multiple Regression and Model Averaging Model-Building Approach for Missing Data with Multiple Imputation
inferred← citeshttps://doi.org/10.48084/etasr.9768openalex-snapshot
Unraveling the Impact of Climate Change on Food Security in Malaysia: Insights from Vector Error Correction Modeling
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