stats.club
a list by Brice
49 papers · 1 follower
Aggregates all of the statistics related tags into a single list
- papers tagged asymptotics semiparametric inference ml econometrics time series
- papers tagged ml, in category machine learning
- papers tagged time series, in category time series
- papers tagged bayesian, in category bayes
- papers tagged ddc, in category dynamics
- papers tagged causal inference, in category causal inference
- papers added by hand (3)
machine learning · 9 papers
Bianchi, D., Büchner, M., & Tamoni, A. (2021). Bond Risk Premiums with Machine Learning. Review of Financial Studies.
Chen, L., Pelger, M., & Zhu, J. (2019). Deep Learning in Asset Pricing.
Ma, B., & Miyao, Y. (2026). The Imperfective Paradox in Large Language Models. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Russell, J., Rajendhran, R., Pham, C. M., et al. (2026). StoryScope: Investigating idiosyncrasies in AI fiction. arXiv.org.
Kennedy, E. H. (2022). Semiparametric doubly robust targeted double machine learning: a review.
Pollard, D. (2011). Some thoughts on Le Cam's statistical decision theory.
Hines, O., Dukes, O., Diaz-Ordaz, K., et al. (2022). Demystifying statistical learning based on efficient influence functions. The American Statistician.
Lee, S., Kim, M., Hong, S., et al. (2026). CLEAR: Cross-Lingual Enhancement in Retrieval via Reverse-training. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Vaswani, A., Shazeer, N., Parmar, N., et al. (2017). Attention Is All You Need.
time series · 2 papers
Särkkä, S., & García-Fernández, Á. F. (2021). Temporal Parallelization of Bayesian Smoothers. IEEE Transactions on Automatic Control.
Antolin-Diaz, J., & Rubio Ramírez, J. (2026). Attention-based Vector Autoregressions.
bayes · 6 papers
Kamenica, E., & Gentzkow, M. (2011). Bayesian Persuasion. American Economic Review.
Bauer, M. (2012). Restrictions on Risk Prices in Dynamic Term Structure Models.
Habermann, D., Bulling, A., Radev, S. T., et al. (2026). Amortized Bayesian Inference on Multilevel Models of Arbitrary Structure.
Iacovone, L., McKenzie, D., & Meager, R. (2025). Bayesian Impact Evaluation With Informative Priors: An Application to a Colombian Management and Export Improvement Program. Econometrica.
Gelman, A., & Shalizi, C. R. (2013). Philosophy and the practice of Bayesian statistics. British Journal of Mathematical and Statistical Psychology.
Alkema, L., Raftery, A. E., Gerland, P., et al. (2011). Probabilistic Projections of the Total Fertility Rate for All Countries. Demography.
dynamics · 6 papers
Aguirregabiria, V., & Mira, P. (2007). Sequential Estimation of Dynamic Discrete Games. Econometrica.
Arcidiacono, P., & Miller, R. A. (2011). Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity. Econometrica.
Rust, J. (1987). Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher. Econometrica.
Magnac, T., & Thesmar, D. (2002). Identifying Dynamic Discrete Decision Processes. Econometrica.
Hotz, V. J., & Miller, R. A. (1993). Conditional Choice Probabilities and the Estimation of Dynamic Models. The Review of Economic Studies.
Rust, J., & Rothwell, G. (1995). Optimal Response to a Shift in Regulatory Regime: The Case of the US Nuclear Power Industry. Journal of Applied Econometrics.
causal inference · 1 paper
Borusyak, K., Hull, P., & Jaravel, X. (2025). A Practical Guide to Shift-Share Instruments. Journal of Economic Perspectives.
no category · 25 papers
Solon, G., Haider, S. J., & Wooldridge, J. M. (2015). What Are We Weighting For? Journal of Human Resources.
Chernozhukov, V., Newey, W. K., & Singh, R. (2022). Automatic Debiased Machine Learning of Causal and Structural Effects. Econometrica.
Vohra, V., & Goldin, J. (2024). Identifying the Cumulative Causal Effect of a Non-Binary Treatment from a Binary Instrument. Review of Economics and Statistics.
Diebold, F. X., & Li, C. (2003). Forecasting the Term Structure of Government Bond Yields. Working Paper Series.
Lee, K., Miguel, E., & Wolfram, C. (2020). Experimental Evidence on the Economics of Rural Electrification. Journal of Political Economy.
Xu, Y., Zhao, A., & Ding, P. (2026). Factorial Difference-in-Differences. Journal of the American Statistical Association.
Viviano, D., Wüthrich, K., & Niehaus, P. (2026). A Model of Multiple Hypothesis Testing. Review of Economic Studies.
Chernozhukov, V., Wüthrich, K., & Zhu, Y. (2026). Debiasing and t -Tests for Synthetic Control Inference on Average Causal Effects. Journal of Political Economy.
Wüthrich, K., & Zhu, Y. (2023). Omitted Variable Bias of Lasso-Based Inference Methods: A Finite Sample Analysis. Review of Economics and Statistics.
Ludwig, J., Mullainathan, S., & Rambachan, A. (2026). Large Language Models: An Applied Econometric Framework. Annual Review of Economics.
Mullainathan, S., & Spiess, J. (2017). Machine Learning: An Applied Econometric Approach. Journal of Economic Perspectives.
Bertanha, M., & Moreira, M. J. (2020). Impossible inference in econometrics: Theory and applications. Journal of Econometrics.
Bertanha, M., McCallum, A. H., & Seegert, N. (2023). Better bunching, nicer notching. Journal of Econometrics.
Blomquist, S., Hausman, J. A., & Newey, W. K. (2023). The Econometrics of Nonlinear Budget Sets. Annual Review of Economics.
Chernozhukov, V., Chetverikov, D., Demirer, M., et al. (2018). Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal.
Blomquist, S., & Newey, W. (2002). Nonparametric Estimation with Nonlinear Budget Sets. Econometrica.
Heckman, J. J. (2008). The Effect of Prayer on God's Attitude Toward Mankind.
Spiess, J. (2025). Optimal Estimation When Researcher and Social Preferences Are Misaligned. Econometrica.
Adusumilli, K., & Vemulapati, A. (2026). Designing Persuasive Experiments.
Kitagawa, T., & Tetenov, A. (2018). Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice. Econometrica.
Kormos, M., & Vaart, A. v. d. (2026). Private Rate-Double-Robust Inference.
Callaway, B., & Sant’Anna, P. H. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics.
Zhang, W. (2026). Unlocking Density: Impacts of Small-Scale Rezoning on Housing Supply and Property Values in Edmonton. 2026 Annual Meeting, July 26 - 28, 2026, Kansas City, Missouri.
Matthew A. Turner, A. H. W. v. d. K. (2014). Land Use Regulation and Welfare. Econometrica.
Gandhi, A., Navarro, S., & Rivers, D. A. (2020). On the Identification of Gross Output Production Functions. Journal of Political Economy.