A long tradition in macro-finance studies the joint dynamics of aggregate stock returns and dividends using vector autoregressions (VARs), imposing cross-equation restrictions implied by Campbell-Shiller (CS) identity to sharpen inference. We take a Bayesian perspective develop methods draw from any posterior distribution VAR that encodes priori skepticism about large amounts return predictabil...

our primary objective was to measure root canal penetrations of aqueous antibacterial nano-chitosan (nano-cs), for the first time. the second objective was to compare and contrast such penetrations to those of chitosan (cs) itself, as well as sodium hypochlorite (naocl), chlorhexidine (chx) and ethylenediamintetraacetic acid (edta), at the routinely used concentrations. molar roots were split l...

Non-parametric Bayesian techniques are considered for learning dictionaries for sparse image representations, with applications in denoising, inpainting and compressive sensing (CS). The beta process is employed as a prior for learning the dictionary, and this non-parametric method naturally infers an appropriate dictionary size. The Dirichlet process and a probit stick-breaking process are als...

background: around one out of two mothers give births by cesarean section (cs) surgery in iran and about half of this number is due to previous cs. recently health sector evolution (hsep) program (started in april 2014) targets the high rate of cs in iran. to assess the impact of the interventions, we emphasized that the first birth cesarean (fbc) proportion is one of the main indicators to ass...

To support the massive machine-type communications (mMTC) scenario for Internet of Things (IoTs) applications featured by large-scale device connectivity and low activity, grant-free non-orthogonal multiple access (GF-NOMA) compressive sensing (CS)-based multi-user detection methods (MUD) are developed. In this paper, we develop two Bayesian CS-based methods, i.e., sparse Learning (SBL) fast in...

A diacid monomer was synthesized by the condensation of L-tryptophan amino acid and pyromellitic dianhydride (PMDA). The diacid was utilized for the synthesis of three types of poly(amide-imide)s (PAIs) using three different kinds of diamines. The synthesized monomer and PAIs were characterized using FT-IR, 1H-NMR and 13C-NMR spectroscopies and the PAIs were also used ...

The North Atlantic red alga Mastocarpus stellatus is characterized by two life histories (sexual-type and direct-type), which correspond to two geographically isolated breeding groups. These features enable M. stellatus to be an interesting model to investigate how environmental shift and apomictic propagation have influenced its population genetic structure, historical demography and distribut...

Continuous time Bayesian network classifiers are designed for temporal classification of multivariate streaming data when time duration of events matters and the class does not change over time. This paper introduces the CTBNCToolkit: an open source Java toolkit which provides a stand-alone application for temporal classification and a library for continuous time Bayesian network classifiers. C...