When modeling time series data using autoregressive-moving average processes, it is a common practice to presume that the residuals are normally distributed. However, sometimes we encounter non-normal residuals and asymmetry of data marginal distribution. Despite widespread use of pure autoregressive processes for modeling non-normal time series, the autoregressive-moving average models have le...

introduction: [61cu]diacetyl-bis(n4-methylthiosemicarbazone) ([61cu]atsm) is a well-established hypoxia imaging tracer with simple production and significant specifity. in this work the accumulation of the tracer is studied in wild-type, necrotic and hypoxic fibrosarcoma tumors. methods: [61cu]atsm was prepared using atsm ligand and [61cu]cuoac followed by i.v. administration and imaging studi...

Objective(s): Many cancer cells show significant resistance to drugs that kill drug sensitive cancer cells and non-tumor cells and such resistance might be a consequence of the difference in metabolism. Therefore, studying the metabolism of drug resistant cancer cells and comparison with drug sensitive and normal cell lines is the objective of this research. Material and Methods:Metabolism of c...

The goal of this study is to introduce a statistical method regarding the analysis of specific latent data for regression analysis of the discrete data and to build a relation between a probit regression model (related to the discrete response) and normal linear regression model (related to the latent data of continuous response). This method provides precise inferences on binary and multinomia...

Objective(s): Osteoarthritis (OA), as a known degenerative joint disease, is the most common form of arthritis. In this study, we aimed to elucidate unclear pathogenesis of OA. Materials and Methods: Rabbit models of OA were established by the transection of the anterior cruciate ligament. Rabbits were randomly divided into three equal groups: the experimental group (OA modeling, treated with e...

The concept of informational independence plays a key role in most knowledge-based systems. J. Pearl and his co-researchers have analysed the basic properties of the concept and have formulated an axiomatic system for informational independence. This axiomatic system focuses on independences among mutually disjoint sets of variables. We show that in the context of probabilistic independence a f...

Logistic-normal topic models can effectively discover correlation structures among latent topics. However, their inference remains a challenge because of the non-conjugacy between the logistic-normal prior and multinomial topic mixing proportions. Existing algorithms either make restricting mean-field assumptions or are not scalable to large-scale applications. This paper presents a partially c...

In general, the application of the meaning function T P to a normal logic program P results in innnite expressions and, hence, is infeasible in practice. On the other hand, the iteration of T P is of interest for several elds in AI. Therefore, we introduce a new representation of interpretations and adopt T P to this. The resulting function always results in nite expressions of tractable length...

Commutative Jordan algebras are used to express the structure of mixed orthogonal models and to derive complete sufficient statistics. From these statistics, UMVUE, (Uniformly Minimum Variance Unbiased Estimators), are derived for the relevant parameters, first of single models then of several such models. These models may correspond to experiments designed separately so our results may be seen...