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pro vyhledávání: '"Laber, Eric"'
Functional principal component analysis (FPCA) is a key tool in the study of functional data, driving both exploratory analyses and feature construction for use in formal modeling and testing procedures. However, existing methods for FPCA do not appl
Externí odkaz:
http://arxiv.org/abs/2407.05543
Dynamic treatment regimes formalize precision medicine as a sequence of decision rules, one for each stage of clinical intervention, that map current patient information to a recommended intervention. Optimal regimes are typically defined as maximizi
Externí odkaz:
http://arxiv.org/abs/2407.05537
Autor:
Mustanski, Brian, Moskowitz, David A, Moran, Kevin O, Newcomb, Michael E, Macapagal, Kathryn, Rodriguez-Díaz, Carlos, Rendina, H Jonathon, Laber, Eric B, Li, Dennis H, Matson, Margaret, Talan, Ali J, Cabral, Cynthia
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 8, p e19701 (2020)
BackgroundAdolescent men who have sex with men (AMSM), aged 13 to 18 years, account for more than 80% of teen HIV occurrences. Despite this disproportionate burden, there is a conspicuous lack of evidence-based HIV prevention programs. Implementation
Externí odkaz:
https://doaj.org/article/de88d61eaceb458094df64d3a379f0d6
Response-adaptive randomization (RAR) has been studied extensively in conventional, single-stage clinical trials, where it has been shown to yield ethical and statistical benefits, especially in trials with many treatment arms. However, RAR and its p
Externí odkaz:
http://arxiv.org/abs/2401.03268
Autor:
Weltz, Justin, Fiez, Tanner, Volfovsky, Alexander, Laber, Eric, Mason, Blake, Nassif, Houssam, Jain, Lalit
Publikováno v:
Conference on Neural Information Processing Systems (NeurIPS'23), New Orleans, pp. 65967-66005, 2023
Most linear experimental design problems assume homogeneous variance although heteroskedastic noise is present in many realistic settings. Let a learner have access to a finite set of measurement vectors $\mathcal{X}\subset \mathbb{R}^d$ that can be
Externí odkaz:
http://arxiv.org/abs/2310.04390
Autor:
Ma, Tao, Zhu, Jin, Cai, Hengrui, Qi, Zhengling, Chen, Yunxiao, Shi, Chengchun, Laber, Eric B.
In real-world applications of reinforcement learning, it is often challenging to obtain a state representation that is parsimonious and satisfies the Markov property without prior knowledge. Consequently, it is common practice to construct a state la
Externí odkaz:
http://arxiv.org/abs/2303.14281
The sequential multiple assignment randomized trial (SMART) is the gold standard trial design to generate data for the evaluation of multi-stage treatment regimes. As with conventional (single-stage) randomized clinical trials, interim monitoring all
Externí odkaz:
http://arxiv.org/abs/2209.06306
Autor:
Kang, Chaeryon, Cho, Hunyong, Song, Rui, Banerjee, Moulinath, Laber, Eric B., Kosorok, Michael R.
A key challenge in analyzing the behavior of change-plane estimators is that the objective function has multiple minimizers. Two estimators are proposed to deal with this non-uniqueness. For each estimator, an n-rate of convergence is established, an
Externí odkaz:
http://arxiv.org/abs/2206.06140
Autor:
Cloud, Alex, Laber, Eric
Quantitative measures of randomness in games are useful for game design and have implications for gambling law. We treat the outcome of a game as a random variable and derive a closed-form expression and estimator for the variance in the outcome attr
Externí odkaz:
http://arxiv.org/abs/2009.04834