Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Shaolin Ji"'
Publikováno v:
Molecular Genetics & Genomic Medicine, Vol 7, Iss 6, Pp n/a-n/a (2019)
Abstract Background Long noncoding RNA (lncRNA) exerts a potential regulatory role in tumorigenesis. LncRNA NEAT1 expression remains high in osteosarcoma tissues. However, its biological mechanism in osteosarcoma remains unknown. Methods In this stud
Externí odkaz:
https://doaj.org/article/fc327952be08499d837e6d54d3185f04
Publikováno v:
Abstract and Applied Analysis, Vol 2012 (2012)
We study the optimal control problem of a controlled time-symmetric forward-backward doubly stochastic differential equation with initial-terminal state constraints. Applying the terminal perturbation method and Ekeland’s variation principle, a nec
Externí odkaz:
https://doaj.org/article/1b8a8db6486a4f92a1f765e84775b5aa
Autor:
Chuanfeng, Sun, Shaolin, Ji
We study the Neyman-Pearson theory for convex expectations (convex risk measures) on $L^{\infty}(\mu)$. Without assuming that the level sets of penalty functions are weakly compact, a new approach different from the convex duality method is proposed
Externí odkaz:
http://arxiv.org/abs/1912.12052
Autor:
Shaolin, Ji, Chuanfeng, Sun
In this paper, we study the minimum mean square estimator for a sublinear operator. Under some mild assumptions, we prove the existence and uniqueness of the minimum mean square estimator. Several characterizations of the minimum mean square estimato
Externí odkaz:
http://arxiv.org/abs/1412.5736
Autor:
Qiang Han null, Shaolin Ji
Publikováno v:
Journal of Computational Mathematics. 41:287-304
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67349671b0bb8ba3b3e1848b41fa0896
https://doi.org/10.4208/jcm.2112-m2019-0289
https://doi.org/10.4208/jcm.2112-m2019-0289
Autor:
Shaolin Ji, Larry G. Epstein
Publikováno v:
Operations Research. 70:1317-1329
We model learning in a continuous-time Brownian setting where there is prior ambiguity. The associated model of preference values robustness and is time-consistent. It is applied to study optimal learning when the choice between actions can be postpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1577a9d36989bcab6908cf4d93edc43
https://doi.org/10.1287/opre.2019.1899
https://doi.org/10.1287/opre.2019.1899
Autor:
Shaolin Ji, Haodong Liu
Publikováno v:
Optimal Control Applications and Methods. 43:1076-1095
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a12816542e9ed17622941ad1b3c836b
https://doi.org/10.1002/oca.2875
https://doi.org/10.1002/oca.2875
Autor:
Shaolin Ji, Haodong Liu
Publikováno v:
Stochastics. 94:905-925
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef9f314a23b711403ff90d5980be821
https://doi.org/10.1080/17442508.2021.2015353
https://doi.org/10.1080/17442508.2021.2015353
Publikováno v:
Mathematics of Operations Research.
In this paper, we propose a general modeling framework for optimal control of stochastic fully coupled forward-backward linear quadratic (FBLQ) problems with indefinite control weight costs that stem from rational expectations models. We propose a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2002e198263c1b32a5370e8985b7219
https://doi.org/10.1287/moor.2022.1319
https://doi.org/10.1287/moor.2022.1319
Publikováno v:
SIAM Journal on Control and Optimization. 59:2669-2692
In this paper, we study a generalized Kalman-Bucy filtering problem under uncertainty. The drift uncertainty for both signal process and observation process is considered and the attitude to uncertainty is characterized by a convex operator (convex r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::520bc8e5bb6ae28684b033a4012ab040
https://doi.org/10.1137/20m137954x
https://doi.org/10.1137/20m137954x