Results 91 to 100 of about 666,183 (322)

On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference

, 2018
Nonparametric methods play a central role in modern empirical work. While they provide inference procedures that are more robust to parametric misspecification bias, they may be quite sensitive to tuning parameter choices.
Calonico, Sebastian, Cattaneo, Matias D., Farrell, Max H.   +2 more
core   +2 more sources

Robust Offline Reinforcement Learning -- Certify the Confidence Interval

, 2023
Currently, reinforcement learning (RL), especially deep RL, has received more and more attention in the research area. However, the security of RL has been an obvious problem due to the attack manners becoming mature. In order to defend against such adversarial attacks, several practical approaches are developed, such as adversarial training, data ...
Yao, Jiarui, Du, Simon Shaolei
openaire   +2 more sources

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

Improved Confidence Intervals for Expectiles

Mathematics
Expectiles were introduced to statistics around 40 years ago, but have recently gained renewed interest due to their relevance in financial risk management.
Spiridon Penev, Yoshihiko Maesono
doaj   +1 more source

Classical and modified rescaled range analysis: Sampling properties under heavy tails [PDF]

Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range.
Ladislav Kristoufek
core   +1 more source

Relapsing–Remitting Multiple Sclerosis Is Associated With a Dysbiotic Oral Microbiome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Multiple sclerosis (MS) is a chronic autoimmune disorder characterized by inflammation, demyelination, and neurological impairment. While the gut microbiota's role in MS is extensively studied, the association between the oral microbiota and MS remains underexplored, particularly in North American cohorts.
Sukirth M. Ganesan, Meeta Yadav, Sudeep Ghimire, Peter C. Lehman, Apurva J. Patel, Sydney Woods, Heena Olalde, Jemmie Hoang, Mishelle Paullus, Catherine Cherwin, Christine Gill, Tracey Cho, Ashutosh K. Mangalam   +12 more
wiley   +1 more source

Bibliography profiling of undergraduate theses in a professional psychology program

Avances en Psicología Latinoamericana, 2010
The bibliographic profi le of 125 undergraduate (licentiate)theses was analyzed, describing absolutequantities of several bibliometric variables, as wellas within-document indexes and average lags of thereferences.
Cristina Vargas-Irwin, Eugenia Csoban-Mirka, Jaime R. Robles   +2 more
doaj  

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Transparent and reliable construction cost prediction using advanced machine learning and explainable AI

Engineering Science and Technology, an International Journal
Accurate construction cost prediction is vital for project management, influencing budgeting, resource allocation, and overall success. This study proposes a comprehensive framework that combines machine learning models, uncertainty quantification ...
Lifei Chen, Changyong Xu, Wei Hong Lim, Abhishek Sharma, Sew Sun Tiang, Kim Soon Chong, El-Sayed M. El-kenawy, Amel Ali Alhussan, Marwa M. Eid, Doaa Sami Khafaga   +9 more
doaj   +1 more source

Privacy-protecting estimation of adjusted risk ratios using modified Poisson regression in multi-center studies

BMC Medical Research Methodology, 2019
Background Multi-center studies can generate robust and generalizable evidence, but privacy considerations and legal restrictions often make it challenging or impossible to pool individual-level data across data-contributing sites.
Di Shu, Jessica G. Young, Sengwee Toh
doaj   +1 more source