Suitable assumptions

In this paper, we establish the regularized gap function for a class of mixed parametric vector quasiequilibrium problems. Some examples are given to illustrate our results. Our main results extend and differ from those corresponding ones in the current literatures.

6p viporsche 28-10-2022 2 2   Download

Deconvolution analyses have been widely used to track compositional alterations of cell types in gene expression data. Although a large number of novel methods have been developed, due to a lack of understanding of the effects of modeling assumptions and tuning parameters, it is challenging for researchers to select an optimal deconvolution method suitable for the targeted biological conditions.

23p viarchimedes 26-01-2022 6 0   Download

In this paper, we study stability for parametric set optimization problems. We first mention the concepts of solutions to such problems based on set less order relation between sets. Then, we introduce the converse property of set-valued mappings. Under suitable assumptions, the upper and lower semicontinuity of strong solution mappings are established. Our results are new and different from the existing ones in the literature.

7p vivacation2711 23-10-2021 29 2   Download

The nonparametric trend test (NPT) is well suitable for identifying the genetic variants associated with quantitative traits when the trait values do not satisfy the normal distribution assumption. If the genetic model, defined according to the mode of inheritance, is known, the NPT derived under the given genetic model is optimal. However, in practice, the genetic model is often unknown beforehand.

9p vioklahoma2711 19-11-2020 9 1   Download

High-throughput technologies have brought tremendous changes to biological domains, and the resulting high-dimensional data has also posed enormous challenges to computational science. A Bayesian network is a probabilistic graphical model represented by a directed acyclic graph, which provides concise semantics to describe the relationship between entities and has an independence assumption that is suitable for sparse omics data.

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Experimental pharmacology deals with effects of various test substances studied on different animal species which is aimed at finding out safe therapeutic agent suitable for public health as well as mechanism and site of action of a test substance.

12p vimax2711 27-03-2020 17 1   Download

Utilizing forty-five years of daily London gold price fixes, this paper finds the presence of dual long-memory processes in the 10:30am fix and the 3:00pm price fix utilizing ARFIMA-FIGARCH and ARFIMA-FIEGARCH models, respectively. This research proves that the return and volatility of the London Gold price fixes have predictable structures and does not conform to the weakform efficient assumption of Fama (1970). This study also suggests that the London gold price fixes do not exhibit leverage effects and asymmetric volatility response properties.

10p trinhthamhodang2 21-01-2020 19 0   Download

Necrophagous insects are mostly known through forensic entomology. Indeed, experimental data investigating the effect of temperature on larval development underlies post-mortem interval estimations. However, such developmental studies rarely considered the behavior of maggots. In contrast, previous results supposed that calliphoridae larvae use behavioral strategies to optimize their development on carcasses. To test this idea, we analyzed the trade-off between thermal regulation (individual thermal preferences) and social behavior (aggregation) in Lucilia sericata larvae.

7p trinhthamhodang1 14-11-2019 13 1   Download

In this paper, we study a class of nonlinear switched systems of fractional order with p-Laplacian operator. By applying a fixed point theorem for a concave operator on a cone, we obtain the existence and uniqueness of a positive solution for an integral boundary value problem with switched nonlinearity under some suitable assumptions.

8p danhdanh27 07-01-2019 35 3   Download

We would like to draw attention to Hidden Markov Tree Models (HMTM), which are to our knowledge still unexploited in the field of Computational Linguistics, in spite of highly successful Hidden Markov (Chain) Models. In dependency trees, the independence assumptions made by HMTM correspond to the intuition of linguistic dependency. Therefore we suggest to use HMTM and tree-modified Viterbi algorithm for tasks interpretable as labeling nodes of dependency trees.

4p hongphan_1 15-04-2013 51 4   Download

We resolve these issues as follows. We show that a nonincreasing returns to scale (nrs) model is usually appropriate when modeling rational choice among investors. We show when multiple risk and return measures can justifiably be combined and identify some suitable measures. We show we need a nonlinear model to justify the assumption of convexity and to model diversification. We develop a method to approximate a solution to this model as accurately as needed using a sequence of linear models. Coherent measures of risk come up again and again in our discussion.

18p thangbienthai 20-11-2012 45 3   Download