Conditional probability and ratio-based approaches for mapping the coverage of multi-dose vaccines. [PDF]
Utazi CE +4 more
europepmc +1 more source
Extending Kolmogorov's axioms for a generalized probability theory on collections of contexts
Kolmogorov's axioms of probability theory are extended to conditional probabilities among distinct (and sometimes intertwining) contexts. Formally, this amounts to row stochastic matrices whose entries characterize the conditional probability to find ...
Svozil, Karl
core
Diagnosing the Conditional Probability of Tornado Damage Rating Using Environmental and Radar Attributes [PDF]
Bryan T. Smith +3 more
openalex +1 more source
Conditional Probability Matrix and the $S^2$-rank [PDF]
Mihai D. Staic
openalex +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Using Bayesian network analysis in social sciences: A case study of domestic water and energy use [PDF]
Understanding the factors that shape household water and energy use is essential for designing targeted conservation interventions that promote both sustainability and well-being.
Fiorella La Matta Romero +2 more
doaj +3 more sources
Ten-year conditional probability of survival for patients with ovarian cancer: A new metric tailored to Long-term survivors. [PDF]
Kahn R +13 more
europepmc +1 more source
Quantifying the land‐use change due to soybean‐based biodiesel in the United States
Abstract We quantify the impact of soybean oil‐based biodiesel production on US cropland, using a method that accounts for the intermediate effect of soybean crushing facilities. Based on U.S. Environmental Protection Agency data for biodiesel production and proprietary data for soybean crushing facilities over 2011–2020, we find that the elasticities ...
Ruiqing Miao +5 more
wiley +1 more source
LARF: Instrumental Variable Estimation of Causal Effects through Local Average Response Functions
LARF is an R package that provides instrumental variable estimation of treatment effects when both the endogenous treatment and its instrument (i.e., the treatment inducement) are binary. The method (Abadie 2003) involves two steps. First, pseudo-weights
Weihua An, Xuefu Wang
doaj +1 more source
Comment on "Age Conditional Probability of Ocular and Ocular Adnexal Malignancies". [PDF]
Zabor EC.
europepmc +1 more source

