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261. Machine Learning Methods for Regression and Classification with Functional Data

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262. Topics on High-Dimensional Statistical Methods for Compositional Data

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263. Statistical Learning on High-Dimensional Multi-Source Data

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264. Essays in HIV: Mapping the distribution of marginalized groups and analysis of ART treatment effectiveness across patient groups

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265. Statistical Learning for Robust Topological Inference

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266. Statistical Learning with Conditional Independence and Graphical Models

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267. Inference Methods for High-Dimensional Data: A Focus On Different Hypothesis Testing Problems

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268. Trustworthy Unsupervised and Supervised Learning

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269. Computational Methods and Spatial Models with Intractable Likelihoods

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270. Tests of Hypotheses on Regression Coefficients in High-Dimensional Regression Models

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271. Statistical Analysis of Missing Not at Random Problems with a Nonparametric Regression Model and Semiparametric Missingness Mechanism.

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272. Advances in Spatial Models for Urban Crime

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273. Dimension Reduction and Graphical Models using Optimal Transport

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274. Robust Techniques for High-dimensional Data: Modern Approaches and Applications

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275. New advances in structure learning of graphical models

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276. Practical Aspects of Statistical Modeling of Networks

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277. TOPICS ON THEORETICAL FOUNDATIONS OF HIGH-DIMENSIONAL STATISTICS

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278. Model Agnostic Regularization via Data Augmentation and Explainable Ensembles

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279. Statistical Methods for Flood Hazard Models and Crop Yield Projections

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280. Cross-Species Prediction of Transcription Factor Binding

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