Neuronized Priors for Bayesian Sparse Linear Regression
January 16, 2022
This note is for Shin, M., & Liu, J. S. (2021). Neuronized Priors for Bayesian Sparse Linear Regression. Journal of the American Statistical Association, 1–16.
Empirical Bayes
January 16, 2022
This note is based on Sec. 4.6 of Lehmann, E. L., & Casella, G. (1998). Theory of point estimation (2nd ed). Springer.
Magnetic Field Orientations in Star Formation
January 12, 2022
Generalizing Ridge Regression
December 14, 2021
This note is for Chapter 3 of van Wieringen, W. N. (2021). Lecture notes on ridge regression. ArXiv:1509.09169 [Stat].
Gaussian Processes for Regression
December 13, 2021
This note is for Chapter 4 of Rasmussen, C. E., & Williams, C. K. I. (2006). Gaussian processes for machine learning. MIT Press.
Additive Model with Linear Smoother
December 07, 2021
This note is for Buja, A., Hastie, T., & Tibshirani, R. (1989). Linear Smoothers and Additive Models. The Annals of Statistics, 17(2), 453–510. JSTOR.
Asymptotics of Cross Validation
December 03, 2021
This note is for Austern, M., & Zhou, W. (2020). Asymptotics of Cross-Validation. ArXiv:2001.11111 [Math, Stat].
Review on Random Matrix Theory
December 01, 2021
This note is for Paul, D., & Aue, A. (2014). Random matrix theory in statistics: A review. Journal of Statistical Planning and Inference, 150, 1–29.
Probabilistic Principal Curves
November 22, 2021
This note is for Chang, K.-Y., & Ghosh, J. (2001). A unified model for probabilistic principal surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(1), 22–41., but only involves the principal curves.
Regularization-Free Principal Curves
November 21, 2021
The note is for Gerber, S., & Whitaker, R. (2013). Regularization-Free Principal Curve Estimation. 18.
Invariant Risk Minimization
November 19, 2021 0 Comments
This note is for Arjovsky, M., Bottou, L., Gulrajani, I., & Lopez-Paz, D. (2020). Invariant Risk Minimization. ArXiv:1907.02893 [Cs, Stat].
Causal Inference by Invariant Prediction
November 19, 2021 0 Comments
Infinite Relational Model
November 18, 2021 (Update: ) 0 Comments
This note is based on Kemp, C., Tenenbaum, J. B., Griffiths, T. L., Yamada, T., & Ueda, N. (n.d.). Learning Systems of Concepts with an Infinite Relational Model. 8. and Saad, F. A., & Mansinghka, V. K. (2021). Hierarchical Infinite Relational Model. ArXiv:2108.07208 [Cs, Stat].
Multidimensional Monotone Bayesian Additive Regression Tree
November 17, 2021 0 Comments
This note is for Chipman, H. A., George, E. I., McCulloch, R. E., & Shively, T. S. (2021). mBART: Multidimensional Monotone BART. ArXiv:1612.01619 [Stat].
Debiased ML via NN for GLM
November 16, 2021 0 Comments
Biclustering on Gene Expression Data
November 10, 2021 0 Comments
The note is based on Padilha, V. A., & Campello, R. J. G. B. (2017). A systematic comparative evaluation of biclustering techniques. BMC Bioinformatics, 18(1), 55.
Asymptotic Properties of High-Dimensional Random Forests
November 09, 2021 0 Comments
Bayesian Leave-One-Out Cross Validation
October 20, 2021 0 Comments
Benign Overfitting in Linear Regression
October 11, 2021 0 Comments
This note is for Bartlett, P. L., Long, P. M., Lugosi, G., & Tsigler, A. (2020). Benign Overfitting in Linear Regression. ArXiv:1906.11300 [Cs, Math, Stat].
Multiple Descent of Minimum-Norm Interpolants
October 11, 2021 0 Comments
Exploring DNN via Layer-Peeled Model
September 25, 2021 0 Comments
Conformal Inference
September 22, 2021 0 Comments
The note is based on Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., & Wasserman, L. (2018). Distribution-Free Predictive Inference for Regression. Journal of the American Statistical Association, 113(523), 1094–1111. and Tibshirani, R. J., Candès, E. J., Barber, R. F., & Ramdas, A. (2019). Conformal Prediction Under Covariate Shift. Proceedings of the 33rd International Conference on Neural Information Processing Systems, 2530–2540.
Bayesian Sparse Multiple Regression
September 16, 2021 0 Comments
Cross-Validation for High-Dimensional Ridge and Lasso
September 16, 2021 0 Comments
This note collects several references on the research of cross-validation.
Local Tracklets Filtering and Global Tracklets Association
July 05, 2021 (Update: ) 0 Comments
Multiple Object Tracking via Minimizing Energy
July 05, 2021 0 Comments
Knowledge Graph and Electronic Medical Records
June 29, 2021 0 Comments
This note covers several papers on Knowledge Graph and Electronic Medical Records.
Self-organized Maps of Document Collections
June 12, 2021 0 Comments
This note is for Kaski, S., Honkela, T., Lagus, K., & Kohonen, T. (1998). WEBSOM – Self-organizing maps of document collections