1. Coethnics Covote in Africa: Studying Electoral Cleavages with a Covoting Regression Model
   2026/04/06 by Carl Muller Crepon, Nils‐Christian Bormann · 2 voices
   Social Sciences · #Aggregate (composite) #Aggregate data #Culture, Economy, and Development Studies #Electoral Systems and Political Participation #Ethnic group #Political Conflict and Governance #Pooling #Regression #Regression analysis #Selection (genetic algorithm) #Voting
2. Pseudogenes document protracted parallel regression of oral anatomy in myrmecophagous mammals
   2026/01/10 by Christopher A. Emerling, Sophie Teullet, Rémi Allio +3 · 2 voices · 1 citation
   Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · Psychology · #Adaptation (eye) #Convergent evolution #Evolution and Paleontology Studies #Gene #Insect and Arachnid Ecology and Behavior #Masticatory force #Phylogenetic tree #Phylogenetics #Primate Behavior and Ecology #Pseudogene #Regression
3. Discovering network dynamics with neural symbolic regression
   2025/10/23 by Zihan Yu, Jingtao Ding, Yong Li · 1 voice · 3 citations
   Computer Science · Physics and Astronomy · #Artificial neural network #Benchmark (surveying) #Bridge (graph theory) #Complex dynamics #Dynamics (music) #Evolutionary Algorithms and Applications #Model Reduction and Neural Networks #Network dynamics #Neural Networks and Applications #Node (physics) #Regression
4. How Benchmark Prediction from Fewer Data Misses the Mark
   2025/06/09 by Guanhua Zhang, Zhang, Guanhua, Florian E. Dorner +3 · 1 voice · 4 citations
   Computer Science · Social Sciences · #Baseline (sea) #Benchmark (surveying) #Computational and Text Analysis Methods #Natural Language Processing Techniques #Predictive modelling #Random forest #Regression #Sample (material) #Sample size determination #Similarity (geometry) #Topic Modeling #cs.LG
5. Better Understanding Triple Differences Estimators
   2025/05/15 by Marcelo Ortiz-Villavicencio, Pedro H. C. Sant’Anna, Pedro H. C. Sant'Anna +2 · 2 voices · 1 citation
   Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Covariate #Estimator #Identification (biology) #Inverse probability #Point estimation #Pooling #Regression #Standard error #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials #econ.EM
6. PLRD: Partially Linear Regression Discontinuity Inference
   2025/03/12 by Aditya Ghosh, Guido W. Imbens, Guido Imbens +4 · 2 voices · 2 citations
   Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Confidence interval #Discontinuity (linguistics) #Forecasting Techniques and Applications #Inference #Linear regression #Proper linear model #Regression #Regression analysis #Regression discontinuity design #Smoothness #Statistical Methods and Inference #econ.EM #stat.ME
7. Decoding-based Regression
   2025/01/31 by Xingyou Song, Song, Xingyou, Dara Bahri +1 · 2 voices · 8 citations
   Computer Science · Mathematics · #Computer science #Decoding methods #Mathematics #Neural Networks and Applications #Regression #Regression analysis #Statistics
8. Univariate-Guided Sparse Regression
   2025/01/30 by Sourav Chatterjee, Trevor Hastie, Chatterjee, Sourav +3 · 2 voices · 1 citation
   Computer Science · Mathematics · #Computer science #Econometrics #Face and Expression Recognition #Mathematics #Multivariate statistics #Regression #Regression analysis #Statistics #Univariate #stat.ME
9. Regression discontinuity aggregation, with an application to the union effects on inequality
   2024/12/31 by Kirill Borusyak, Borusyak, Kirill, Matan Kolerman-Shemer +1 · 2 voices
   Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Advanced Statistical Methods and Models #Demographic economics #Discontinuity (linguistics) #Econometrics #Economics #Inequality #Mathematical analysis #Mathematics #Multi-Criteria Decision Making #Regression #Regression discontinuity design #Statistics #econ.EM
10. Improved understanding of carbon nanotube growth via autonomous jump regression targeting of catalyst activity
    2024/06/18 by Robert Waelder, Chiwoo Park, Arthur Sloan +8 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Chemistry · Engineering · Materials Science · Mathematics · #Advanced Electron Microscopy Techniques and Applications #Carbon Nanotubes in Composites #Carbon nanotube #Catalysis #Chemical engineering #Chemistry #Composite material #Engineering #Jump #Machine Learning in Materials Science #Materials science #Mathematics #Nanotechnology #Nanotube #Organic chemistry #Physics #Regression #Statistics
11. From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
    2024/04/11 by Robert Vacareanu, Vacareanu, Robert, Vlad-Andrei Negru +6 · 4 voices · 29 citations
    Computer Science · Mathematics · #AdaBoost #Artificial intelligence #Boosting (machine learning) #Computer science #Context (archaeology) #Explainable Artificial Intelligence (XAI) #Geography #Gradient boosting #Linear regression #Machine learning #Mathematics #Natural Language Processing Techniques #Natural language processing #Random forest #Regression #Regret #Statistics #Support vector machine #Topic Modeling #cs.AI #cs.CL
12. Bayesian Regression Markets
    2023/10/23 by Thomas Falconer, Falconer, Thomas, Jalal Kazempour +3 · 1 voice · 2 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Auction Theory and Applications #Bayesian inference #Bayesian linear regression #Bayesian probability #Computer science #Consumer Market Behavior and Pricing #Econometrics #Economics #Mathematics #Regression #Regression analysis #Sports Analytics and Performance #Statistics #cs.LG
13. Unified Transfer Learning Models in High-Dimensional Linear Regression
    2023/07/01 by Shuo Shuo Liu, Liu, Shuo Shuo · 1 citation
    Computer Science · Mathematics · #Algorithm #Artificial intelligence #Computer science #Data mining #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Interpretability #Key (lock) #Labeled data #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Mathematics #Regression #Statistics #Transfer of learning
14. Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
    2023/05/16 by Kyunghee Han, Dogyoon Song, Han, Kyunghee +1 · 4 citations
    Chemistry · Mathematics · #Advanced Statistical Methods and Models #Computer science #Covariate #Econometrics #Estimator #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Mathematics #Methodology (stat.ME) #Rank (graph theory) #Regression #Regression analysis #Spectroscopy and Chemometric Analyses #Statistical Methods and Inference #Statistics #Statistics Theory (math.ST)
15. Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects
    2023/02/24 by Neal Jawadekar, Katrina Kezios, Michelle C Odden +8 · 23 citations
    Economics, Econometrics and Finance · Mathematics · Medicine · #Advanced Causal Inference Techniques #Artificial intelligence #Causal inference #Causal model #Computer science #Data science #Econometrics #Environmental health #Health Systems, Economic Evaluations, Quality of Life #Machine learning #Mathematics #Medicine #Population #Regression #Regression analysis #Statistical Methods and Inference #Statistics #Tree (set theory) #Variety (cybernetics)
16. Relaxing Assumptions, Improving Inference: Integrating Machine Learning and the Linear Regression
    2022/10/28 by Marc Ratkovic · 1 voice · 4 citations
    Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Artificial intelligence #Causal inference #Computer science #Covariate #Econometrics #Electoral Systems and Political Participation #Inference #Machine learning #Mathematics #Observational study #Programming language #Qualitative Comparative Analysis Research #Regression #Set (abstract data type) #Specification #Statistics
17. Memory failure predicts belief regression after the correction of misinformation
    2022/09/26 by Briony Swire-Thompson, Briony Swire‐Thompson, Mitch Dobbs +3 · 18 citations
    Computer Science · Neuroscience · Psychology · Social Sciences · #Cognitive psychology #Computer science #Developmental psychology #Explainable Artificial Intelligence (XAI) #Forgetting #Memory Processes and Influences #Misinformation #Misinformation and Its Impacts #Psychology #Regression #Regression analysis #Social psychology #Statistics #Test (biology)
18. Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient
    2022/06/27 by Guancen Lin, Aijing Lin, Danlei Gu · 11 citations
    Engineering · Mathematics · Social Sciences · #Artificial intelligence #Computer science #Data mining #Engineering #Intelligent transportation system #Machine learning #Mathematics #Mean absolute percentage error #Mean squared error #Regression #Statistics #Support vector machine #Term (time) #Time series #Traffic Prediction and Management Techniques #Traffic control and management #Traffic flow (computer networking) #Transport engineering #Transportation Planning and Optimization
19. The TAP free energy for high-dimensional linear regression
    2022/03/14 by Jiaze Qiu, Subhabrata Sen, Qiu, Jiaze +1 · 1 citation
    Computer Science · Mathematics · #60F99 #62C10 #82B44 #Applied mathematics #Bayesian Methods and Mixture Models #Bayesian probability #Combinatorics #Computer science #Conjecture #Constant (computer programming) #Distribution (mathematics) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian #Linear regression #Machine Learning (stat.ML) #Mathematical analysis #Mathematical physics #Mathematics #Physics #Probability (math.PR) #Quantum mechanics #Regression #Representation (politics) #Spin glass #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical physics #Statistics #Statistics Theory (math.ST) #Work (physics)
20. Differentially Private Regression with Unbounded Covariates
    2022/02/19 by Jason Milionis, Alkis Kalavasis, Milionis, Jason +5 · 2 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Artificial intelligence #Bayesian multivariate linear regression #Computer science #Covariance #Covariate #Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Gaussian #Linear regression #Local regression #Logistic regression #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics #Polynomial regression #Privacy-Preserving Technologies in Data #Proper linear model #Random Matrices and Applications #Regression #Regression analysis #Robust regression #Statistics #Support vector machine
21. Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
    2021/10/31 by Felix Bünning, Benjamin Huber, Adrian Schalbetter +5 · 3 citations
    Computer Science · Engineering · Mathematics · #Artificial intelligence #Building Energy and Comfort Optimization #Computer science #Energy Load and Power Forecasting #Engineering #Industrial engineering #Linear regression #Machine learning #Mathematics #Neural Networks and Applications #Regression #Regression analysis #Statistics
22. Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes
    2021/09/15 by Celia Martín Vicario, Vicario, Celia Martin, Florian Kordon +17 · 1 citation
    Engineering · Mathematics · Medicine · #Anatomy and Medical Technology #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Euler angles #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Geometry #Image and Video Processing (eess.IV) #Mathematics #Medical Imaging and Analysis #Medical Physics (physics.med-ph) #Orientation (vector space) #Physics #Plane (geometry) #Position (finance) #Regression #Representation (politics) #Rotation (mathematics) #Spinal Fractures and Fixation Techniques #Statistics #Volume (thermodynamics) #electronic engineering #information engineering
23. Local Projection Inference Is Simpler and More Robust Than You Think
    2021/01/01 by José Luis Montiel Olea, Mikkel Plagborg‐Møller, Mikkel Plagborg-Møller · 10 citations
    Economics, Econometrics and Finance · Mathematics · #Algorithm #Applied mathematics #Artificial intelligence #Autoregressive model #Computer science #Covariate #Econometrics #Financial Risk and Volatility Modeling #Impulse (physics) #Impulse response #Inference #Lag #Market Dynamics and Volatility #Mathematics #Monetary Policy and Economic Impact #Projection (relational algebra) #Range (aeronautics) #Regression #Statistics
24. Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
    2020/11/06 by Chaoqi Wang, Shengyang Sun, Wang, Chaoqi +3 · 2 citations
    Computer Science · Engineering · Mathematics · #Bayesian inference #Bayesian linear regression #Bayesian probability #Computer science #Control Systems and Identification #Econometrics #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Marginal likelihood #Mathematics #Posterior probability #Regression #Statistical Methods and Inference #Statistics
25. Quasi-oracle estimation of heterogeneous treatment effects
    2020/09/09 by Xinkun Nie, X Nie, Stefan Wager +1 · 113 citations
    Mathematics · #A priori and a posteriori #Advanced Causal Inference Techniques #Artificial intelligence #Boosting (machine learning) #Computer science #Estimator #Kernel (algebra) #Kernel regression #Machine learning #Mathematical optimization #Mathematics #Oracle #Regression #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics
26. Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects
    2020/09/01 by Clément de Chaisemartin, Xavier D’Haultfœuille · 248 citations
    Economics, Econometrics and Finance · Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Average treatment effect #Econometrics #Economic Policies and Impacts #Economics #Estimator #Fixed effects model #Linear regression #Mathematics #Media Influence and Politics #Panel data #Regression #Statistics
27. Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail
    2020/03/16 by Sushil Punia, Κωνσταντίνος Νικολόπουλος, Konstantinos Nikolopoulos +4 · 6 citations
    Decision Sciences · Engineering · Mathematics · #Artificial intelligence #Artificial neural network #Benchmark (surveying) #Computer science #Deep learning #Demand forecasting #Econometrics #Economics #Energy Load and Power Forecasting #Engineering #Forecasting Techniques and Applications #Machine learning #Mathematics #Multivariate statistics #Operations research #Random forest #Regression #Robustness (evolution) #Statistics #Stock Market Forecasting Methods #Term (time) #Variance (accounting)
28. Estimating treatment effects with machine learning
    2019/10/10 by K. John McConnell, Stephan Lindner · 12 citations
    Mathematics · Medicine · #Advanced Causal Inference Techniques #Artificial Intelligence in Healthcare and Education #Artificial intelligence #Bayesian probability #Computer science #Contrast (vision) #Covariate #Econometrics #Endogeneity #Estimator #Feature selection #Machine learning #Mathematics #Observational study #Random forest #Regression #Sepsis Diagnosis and Treatment #Statistics
29. Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
    2019/06/05 by Jean-François Ton, Lucian Chan, Ton, Jean-Francois +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Artificial intelligence #Cancer-related molecular mechanisms research #Computer science #Conditional expectation #Conditional probability distribution #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Focus (optics) #Gaussian Processes and Bayesian Inference #Image (mathematics) #Kernel (algebra) #Kernel density estimation #Kernel regression #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Mathematics #Meta learning (computer science) #Noise (video) #Pattern recognition (psychology) #Regression #Representation (politics) #Statistics
30. Random Forest Prediction Intervals
    2019/04/12 by Haozhe Zhang, Joshua Zimmerman, Dan Nettleton +1 · 19 citations
    Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Artificial intelligence #Computer science #Confidence interval #Coverage probability #Gaussian Processes and Bayesian Inference #Mathematics #Prediction interval #Quantile #Random forest #Regression #Statistical Methods and Inference #Statistics

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