We study the doubly–polarized lepton pair forward–backward asymmetries in Λb → Λl+l− decay using a general, model independent form of the effective Hamiltonian. We present the general expression for nine double–polarization forward– backward asymmetries. It is observed that, the study of the forward–backward asymmetries of the doubly–polarized lepton pair is a very useful tool for establishing ...

This paper studies an optimal forward investment problem in incomplete market with model uncertainty, which the underlying stocks depend on correlated stochastic factors. The uncertainty stems from probability measure chosen by investor to evaluate performance. We obtain directly representation of homothetic robust performance processes factor form combining zero-sum differential game and ergod...

the method of weights of evidence is one of the most important data driven methods for mineral potential mapping in gis. in this method, considering the characteristics of known mineralized locations, we can prospect new mineralized areas. in this research work, the method of weights of evidence has been used for hydrothermal gold potential mapping in torbat-e-heydarieh area, east of iran. as a...

The present paper analyzes the optimal investment strategy in a defaultable (corporate) bond and a money market account in a continuous time model. Due to jumps in the bond price our market model is incomplete. The treatment of information on the firm’s asset value is based on an approach unifying the structural model and the reduced-form model. Specifically, the asset value will be assumed to ...

This paper derives a speech parameter generation algorithm for HMM-based speech synthesis, in which speech parameter sequence is generated from HMMs whose observation vector consists of spectral parameter vector and its dynamic feature vectors. In the algorithm, we assume that the state sequence (state and mixture sequence for the multi-mixture case) or a part of the state sequence is unobserva...

The standard approach to annotate statements in RDF with metadata has a number of shortcomings including data size blow-up and unnecessarily complicated queries. We propose an alternative approach that is based on nesting of RDF triples and of query patterns. The approach allows for a more compact representation of data and queries, and it is backwards compatible with the standard. In this pape...

We introduce a new class of reflected backward stochastic differential equations with two càdlàg barriers, which need not satisfy any separation conditions. For that reason, in general, the solutions are semimartingales. prove existence, uniqueness and approximation results for defined on general filtered probability spaces. Applications to nonlinear Dynkin games given.

Backward induction is the most widely accepted principle for predicting behavior in dynamic games. In experiments, however, players frequently violate this principle. An alternative is a 2-parameter “dynamic level-k” model, where players choose a rule from a rule hierarchy. The rule hierarchy is iteratively defined such that the level-k rule is a best-response to the level-(k − 1) rule and the ...

Hidden Markov chains have been the subject of extensive studies, see the books [1, 2] and the references therein. Of particular interest are the discret-time, finite-state hidden Markov models. In this paper, using the same techniques as in [3], we propose results that improve the finite-dimensional smoothers of functionals of a partially observed discrete-time Markov chain. The model itself ex...

In this paper a bottom-up approach for human behaviour understanding is presented, using a multi-camera system. The proposed methodology, given a training set of normal data only, classifies behaviour as normal or abnormal, using two different criteria of human behaviour abnormality (short-term behaviour and trajectory of a person). Within this system an one-class support vector machine decides...