Joint Probability
Joint Probability Density and Weighted Probabilistic PCA Based on Coefficient of Variation for Multimode Process Monitoring
... Due to the different requirements of product quality and quantity, modern industrial process usually possesses the characteristic of multiple operating modes. Hence, monitoring methods based on single operation mode ...
6
A Phrase Based,Joint Probability Model for Statistical Machine Translation
... a joint probability model that can be easily marginalized in order to yield conditional probabil- ity models for both source-to-target and target-to- source machine translation ...learn joint ...
7
A Phrase Based Context Dependent Joint Probability Model for Named Entity Translation
... Abstract. We propose a phrase-based context-dependent joint probability model for Named Entity (NE) translation. Our proposed model consists of a lexical mapping model and a permutation model. Target ...
12
A Method for Portfolio Selection Based on Joint Probability of Co Movement of Multi Assets
... In this paper, we present a new method called “Minimum JPCM” to portfolio optimization, and this method which constructs multi-assets JPCM matrix based on joint probability of co-movement between each two ...
14
Joint Probability Prediction Model of Rainfall Triggered Landslides and Debris Flows
... applicable joint probability prediction model for rainfall induced landslides and debris ...multi-objective probability model, landslides and debris flows disasters prediction, preven- tion, alarm ...
8
The use of joint probability analysis to predict flood frequency in estuaries and tidal rivers
... for joint probability to be incorporated into flood risk analyses ...existing joint probability analyses have aimed to simplify the procedures for the calculation of joint ...
358
A Bayesian joint probability post processor for reducing errors and quantifying uncertainty in monthly streamflow predictions
... Bayesian joint probability (BJP) modelling ap- proach to reduce errors and quantify uncertainty in stream- flow predictions generated from a monthly water balance ...
10
Tensor Properties of Joint Probability Densities on Riemannian Parametric Manifold
... a joint probability of some ...for joint probabilities of more than two measurements (events), the commutativity of contravariant derivatives will not ...(3.6) joint probability ...
12
Idealized models of the joint probability distribution of wind speeds
... two probability density functions (pdfs) we will con- sider, the bivariate Rice and Weibull distributions, both start with simple assumptions regarding the distributions of the wind ...
19
2) the stochastic reflection of the system’s physics. The associated physical
... Abstract – Consider a two component parallel system. The defined new stochastic dependences of the component’ life-times are understood as a stochastic reflection of rather complicated components’ physical interactions. ...
6
Analysis of Wigner’s Set Theoretical Proof for Bell Type Inequalities
... We present a detailed analysis of the set theoretical proof of Wigner for Bell type in- equalities with the following result. Wigner introduced a crucial assumption that is not related to Einstein’s local realism, but ...
12
High-resolution marine flood modelling coupling overflow and overtopping processes: framing the hazard based on historical and statistical approaches
... Two joint probability approaches (joint exceedance contour and environmental contour) are used to define 100-year offshore conditions scenarios and to investigate the flood response to each scenario ...
23
Download Download PDF
... the probability distributions for presence of bilirubin and yellowish skin are ...the probability of diagnosing a neonate with jaundice is given by the full joint distribution of node A6 and this is ...
6
Probabilistic Infinite Secret Sharing
... arbitrary probability spaces and possibly infinite number of participants lets us investigate abstract properties of such ...a joint probability distribution of the shares and the secret together ...
15
Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells
... We next combined the transcriptomic and metabolomic data into a joint inter-omic OR analysis Figure 2C by estimating the joint probability of association of each pathway with the drug se[r] ...
12
Price-takers’ bidding strategies in joint energy and spinning reserve pay-as-bid markets
... in joint energy and spinning reserve markets is a challenging task from the viewpoint of Generation Companies ...a joint probability density function for the prices of these ...
8
Modeling horizontal gene transfer (HGT) in the gut of the Chagas disease vector Rhodnius prolixus
... the probability of horizontal gene transfer (HGT) between an engineered symbiotic bacterium used for paratransgenic control of vector-borne Chagas disease and a closely related environmental ...the ...
9
Revisiting a Masked Lookup-Table Compression Scheme
... In order for the scheme to be second- order secure in the probing model, the requirement is that the joint probability distribution of any pair of intermediate variables (including the i[r] ...
15
Understanding Probability
... Definition 11.1 The continuous random variables X and Y are said to have a joint probability density function f x, y if the joint cumulative probability distribution function PX :Sa, Y :[r] ...
28
A Generalized Bivariate Copula for Flood Analysis in Peninsular Malaysia
... Abstract: This study generalized the best copula to characterize the joint probability distribution between rainfall severity and duration in Peninsular Malaysia using two dimensional copulas. Specifically, ...
21