Results 51 to 60 of about 42,084,791 (333)
Nonparametric Bayes dynamic modeling of relational data
, 2013 Symmetric binary matrices representing relations among entities are commonly collected in many areas. Our focus is on dynamically evolving binary relational matrices, with interest being in inference on the relationship structure and prediction.
Dunson, David B., Durante, Daniele
core +1 more source
A multi-method approach to delineate and validate migratory corridors [PDF]
, 2017 Context: Managers are faced with numerous methods for delineating wildlife movement corridors, and often must make decisions with limited data. Delineated corridors should be robust to different data and models.
Bond, Monica L. +4 more
core +1 more source
Big Data and Artificial Intelligence Modeling for Drug Discovery.
Annual Review of Pharmacology and Toxicology, 2020 Due to the massive data sets available for drug candidates, modern drug discovery has advanced to the big data era. Central to this shift is the development of artificial intelligence approaches to implementing innovative modeling based on the dynamic ...
Hao Zhu
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data
EntropyThis paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha +2 more
doaj +1 more source
Superquadrics for segmentation and modeling range data [PDF]
, 1997 We present a novel approach to reliable and efficient recovery of part-descriptions in terms of superquadric models from range data. We show that superquadrics can directly be recovered from unsegmented data, thus avoiding any presegmentation steps (e.g.,
Jaklič, Aleš +2 more
core
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Entropy-based text feature engineering approach for forecasting financial liquidity changes
EPJ Data ScienceChanges in individual and institutional financial behavior leading to shifts in liquidity flows often depend on events reflected in news. However, the task of establishing relationship between financial behavior and news remains challenging and ...
Aleksei Riabykh +5 more
doaj +1 more source
Epitope profiling via mixture modeling of ranked data
, 2014 We propose the use of probability models for ranked data as a useful alternative to a quantitative data analysis to investigate the outcome of bioassay experiments, when the preliminary choice of an appropriate normalization method for the raw numerical ...
Benter +30 more
core +1 more source