Results 11 to 20 of about 324,915 (231)

Sequential evidence accumulation in decision making [PDF]

Judgment and Decision Making, 2008
Judgments and decisions under uncertainty are frequently linked to a prior sequential search for relevant information. In such cases, the subject has to decide when to stop the search for information.
Daniel Hausmann, Damian Lage
doaj  

Sequential design of computer experiments for the estimation of a probability of failure [PDF]

, 2012
This paper deals with the problem of estimating the volume of the excursion set of a function $f:\mathbb{R}^d \to \mathbb{R}$ above a given threshold, under a probability measure on $\mathbb{R}^d$ that is assumed to be known.
A. Arnaud, A. Borri, A. O’Hagan, A.M. Yaglom, B. Echard, B. Echard, B.J. Bichon, C. Currin, C.G. Bucher, D. Ginsbourger, D.A. Berry, D.P. Bertsekas, D.R. Jones, David Ginsbourger, E. Parzen, E. Vazquez, E. Vazquez, E.M. Vestrup, Emmanuel Vazquez, F. Deheeger, F. Fleuret, G.E.P. Box, G.S. Kimeldorf, H. Pradlwarter, H.J. Kushner, J. Mockus, J. Mockus, J. Oakley, J. Oakley, J. Sacks, J. Villemonteix, J.E. Hurtado, J.E. Hurtado, J.L. Loeppky, J.P. Chilès, Julien Bect, L. Schueremans, Ling Li, M. Kennedy, M.J. Bayarri, M.L. Stein, M.R. Rajashekhar, M.S. Handcock, P. Bjerager, P. Ranjan, P.I. Frazier, R. Paulo, R. Rubinstein, S.K. Au, T.J. Santner, V. Picheny, Victor Picheny, W.H. Press, W.J. Welch   +53 more
core   +3 more sources

Parameter Learning of Logic Programs for Symbolic-Statistical Modeling

, 2011
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. definite clause programs containing probabilistic facts with a parameterized distribution.
Kameya, Y., Sato, T.
core   +2 more sources

Context-Dependent Criteria for Dirichlet Process in Sequential Decision-Making Problems

Mathematics
In models with insufficient initial information, parameter estimation can be subject to statistical uncertainty, potentially resulting in suboptimal decision-making; however, delaying implementation to gather more information can also incur costs.
Ksenia Kasianova, Mark Kelbert
doaj   +1 more source

Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview

, 2010
We consider the problem of learning about and comparing the consequences of dynamic treatment strategies on the basis of observational data. We formulate this within a probabilistic decision-theoretic framework. Our approach is compared with related work
Dawid, A. Philip, Didelez, Vanessa
core   +1 more source

Model development for coffee processing plant location selection by using AHP method: Case of Guji Zone, Ethiopia

Cogent Business & Management, 2020
It is very difficult to find a suitable location for a coffee processing plant from many alternatives. This research-developed a model by Analytic hierarchy pair wise that gives full information for a coffee processing plant to select a suitable location
Fasika Bete Georgise, Boru Bedeya Jarso, Alemayehu Tesfaye Mindaye   +2 more
doaj   +1 more source

Sequential Monte Carlo pricing of American-style options under stochastic volatility models

, 2012
We introduce a new method to price American-style options on underlying investments governed by stochastic volatility (SV) models. The method does not require the volatility process to be observed.
Brockwell, Anthony E., Rambharat, Bhojnarine R.   +1 more
core   +1 more source

Towards LLM-Driven Cybersecurity in Autonomous Vehicles: A Big Data-Empowered Framework with Emerging Technologies

Machine Learning and Knowledge Extraction
Modern Autonomous Vehicles generate large volumes of heterogeneous in-vehicle data, making cybersecurity a critical challenge as adversarial attacks become increasingly adaptive, stealthy, and multi-protocol. Traditional intrusion detection systems often
Aristeidis Karras, Leonidas Theodorakopoulos, Christos Karras, Alexandra Theodoropoulou   +3 more
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

Advanced Bayesian modeling of fluorinated gas emissions in East Asia: Comparative performance of MCMC algorithms under censoring

Ain Shams Engineering Journal
This study develops a robust statistical framework for modeling fluorinated gas emissions from industrial processes in East Asia and the Pacific, using data from 1990 to 2023 sourced from the World Bank.
Najla M. Aloraini, Qasim Ramzan, Hafiz Zafar Nazir   +2 more
doaj   +1 more source