Results 11 to 20 of about 890,561 (342)

Flood adaptation decision‐making for vulnerable locations using expectation–quantile–investment analysis

Journal of Flood Risk Management, 2023
Floods represent one of the major challenges facing human societies. The impacts caused by them are extensive, and efficient flood adaptation will play a key role in the current century.
Rui Teixeira, Beatriz Martinez‐Pastor, Luka Vucinic, Alan O'Connor   +3 more
doaj   +1 more source

Probabilistic Mesoscale Analysis of Concrete Beams Subjected to Flexure

International Journal of Applied Mechanics and Engineering, 2021
In this paper, the probabilistic behavior of plain concrete beams subjected to flexure is studied using a continuous mesoscale model. The model is two-dimensional where aggregate and mortar are treated as separate constituents having their own ...
Haider M. Al-Jelawy, Ayad Al-Rumaithi, Aqeel T. Fadhil, Mohannad H. Al-Sherrawi   +3 more
doaj   +1 more source

Opinion on the impact of non‐monotonic dose responses on EFSA′s human health risk assessments

EFSA Journal, 2021
This Opinion assesses the biological relevance of the non‐monotonic dose responses (NMDR) identified in a previous EFSA External Report (Beausoleil et al., 2016) produced under GP/EFSA/SCER/2014/01 and the follow‐up probabilistic assessment (Chevillotte ...
EFSA Scientific Committee, Simon More, Diane Benford, Susanne Hougaard Bennekou, Vasileios Bampidis, Claude Bragard, Thorhallur Halldorsson, Antonio Hernandez‐Jerez, Kostas Koutsoumanis, Claude Lambré, Kyriaki Machera, Ewen Mullins, Søren Saxmose Nielsen, Josef Schlatter, Dieter Schrenk, Dominique Turck, Jose Tarazona, Maged Younes   +17 more
doaj   +1 more source

Probabilistic Principal Component Analysis [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1999
Summary Principal component analysis (PCA) is a ubiquitous technique for data analysis and processing, but one which is not based on a probability model. We demonstrate how the principal axes of a set of observed data vectors may be determined through maximum likelihood estimation of parameters in a latent variable model that is closely ...
Tipping, Michael E., Bishop, Christopher M.   +1 more
openaire   +1 more source

Probabilistic Analysis of Carlitz Compositions [PDF]

Discrete Mathematics & Theoretical Computer Science, 2002
Using generating functions and limit theorems, we obtain a stochastic description of Carlitz compositions of large integer n (i.e. compositions two successive parts of which are different). We analyze: the number M of parts, the number of compositions T(m,n) with m parts, the distribution of the last part size, the correlation between two successive ...
Guy Louchard, Helmut Prodinger
openaire   +6 more sources

Risk assessment of finishing beef cattle in feedlot: slaughter weights and correlation amongst input variables

Revista Brasileira de Zootecnia, 2014
The objective of this study was to evaluate the risk associated with finishing crossbred Charolais × Nellore steers in feedlot at different slaughter weights (425, 467 or 510 kg), considering or disregarding the correlation amongst random input variables.
Paulo Santana Pacheco, Leonir Luiz Pascoal, João Restle, Fabiano Nunes Vaz, Miguelangelo Ziegler Arboitte, Ricardo Zambarda Vaz, João Paulo Aquino Santos, Thamyres Martino Liñares de Oliveira   +7 more
doaj   +3 more sources

Practical applications of probabilistic model checking to communication protocols [PDF]

, 2012
Probabilistic model checking is a formal verification technique for the analysis of systems that exhibit stochastic behaviour. It has been successfully employed in an extremely wide array of application domains including, for example, communication and ...
Alur, Alur, Barnat, Berendsen, Bianco, Ciesinski, Courcoubetis, Duflot, Duflot, Gonsalves, Guirado, Hansson, Henzinger, Herault, Hinton, Jeannet, Katoen, Katoen, Kwiatkowska, Kwiatkowska, Kwiatkowska, Kwiatkowska, Kwiatkowska, Kwiatkowska, Kwiatkowska, Riedl, Roy, Rutten, Segala, Tribastone, Younes, Younes, Yovine   +32 more
core   +2 more sources

A probabilistic analysis of argument cogency [PDF]

, 2018
This paper offers a probabilistic treatment of the conditions for argument cogency as endorsed in informal logic: acceptability, relevance, and sufficiency.
A Corner, C Hamblin, C Howson, D Godden, D Godden, D Godden, D Walton, D Walton, David Godden, F Zenker, FH Eemeren van, Frank Zenker, I Douven, J Woods, J Woods, JA Blair, JA Blair, JL Cohen, JSTB Evans, K Korb, LH Powers, M Oaksford, M Vorobej, N Pfeifer, P Ikuenobe, R Carnap, R Hertwig, R Jeffrey, R Johnson, R Johnson, R Johnson, RC Pinto, RH Johnson, RT Cox, RT Cox, T Govier, U Hahn, U Hahn, U Hahn, U Hahn, U Hahn, W Spohn   +41 more
core   +1 more source

Bilinear Probabilistic Principal Component Analysis [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2012
Probabilistic principal component analysis (PPCA) is a popular linear latent variable model for performing dimension reduction on 1-D data in a probabilistic manner. However, when used on 2-D data such as images, PPCA suffers from the curse of dimensionality due to the subsequently large number of model parameters.
Kwok, JT, Yu, PLH, Zhao, J
openaire   +4 more sources

A Queueing System with Heterogeneous Impatient Customers and Consumable Additional Items

International Journal of Applied Mathematics and Computer Science, 2017
A single-server queueing system with a marked Markovian arrival process of heterogeneous customers is considered. Type-1 customers have limited preemptive priority over type-2 customers.
Baek Janghyun, Dudina Olga, Kim Chesoong
doaj   +1 more source