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252. STATISTICAL SHAPE ANALYSIS USING DEFORMETRICA : ESTIMATING MEAN SHAPE AND GEODESIC SHAPE TRAJECTORY

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254. A Joint Model for Total and Age-Structured Negative Binomial Counts with Application to the COVID-19 Epidemic in Rhode Island

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255. Assessing Classification Uncertainty On Astronomical Objects With Measurement Error

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256. A Bayesian Segmented Linear Regression Model to Observe Breakfast Canyon Patterns in Honeybee Hive Weight Data

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257. Varying Coefficient Mediation Model

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258. Advances in Forward Sufficient Dimension Reduction Methods for Statistical Learning

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259. Space-time Models for Inferring Infectious Disease Risk and Burden

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260. Statistical Inference for High Dimensional Models

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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. Cross-Species Prediction of Transcription Factor Binding

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277. Practical Aspects of Statistical Modeling of Networks

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278. TOPICS ON THEORETICAL FOUNDATIONS OF HIGH-DIMENSIONAL STATISTICS

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279. Model Agnostic Regularization via Data Augmentation and Explainable Ensembles

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

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281. Distributed Inference for Nonparametric Regression Models: Optimal Weighted Averaging and Bandwidth Selection

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283. Minimax Optimal Spectral Regularized Kernel Hypothesis Tests

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284. Facilitating Access and Advancing Analytical Methodology for Confidential Data via Differentially Private Quantile Regression

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285. A stochastic model studying interactions between breastfeeding and vaccination in providing rotavirus immunity

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286. A NEW GAUSSIAN GRAPHICAL MODEL-BASED NETWORK INFERENCE METHOD TO INVESTIGATE GENE CO-EXPRESSION RELATIONSHIPS USING SINGLE-CELL RNA-SEQUENCING DATA

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