Results 81 to 90 of about 1,871,607 (274)

Bayesian generalized method of moments [PDF]

, 2009
We propose the Bayesian generalized method of moments (GMM), which is particularly useful when likelihood-based methods are di±cult. By de-riving the moments and concatenating them together, we build up a weighted quadratic objective function in the GMM ...
Yin, G
core   +1 more source

A Living Multi‐Omics PDX Biobank of High‐Risk Sarcomas Reveals ecDNA‐Driven Oncogene Amplification in Osteosarcoma and Enables Preclinical Precision Oncology

Advanced Science, EarlyView.
A living multi‐omics sarcoma PDX biobank is enriched for high‐risk disease and preserves key patient tumor features at histopathological and molecular levels. Integrated profiling reveals ecDNA‐driven oncogene amplification in osteosarcoma and preferential retention of ecDNA during PDX evolution.
Weisong Zhao, Zhiwei Cheng, Kai Tian, Mengxiong Sun, Zhuoying Wang, Ming Jiao, Jens Luebeck, Kaiyuan Zhu, Xiao Zhang, Dongqing Zuo, Hongsheng Wang, Chongren Wang, Jiakang Shen, Xiaojun Ma, Gangyang Wang, Zongyi Wang, Jing Han, Kaiyuan Liu, Haoran Mu, Weiqi Ma, Yongyong Ren, Shibing Guo, Huangxin Tu, Lingfeng Yu, Yining Tao, Yu Lv, Hui Lu, Owen S. Chapman, Rishaan Kenkre, Lukas Chavez, Zhengdong Cai, Yuqin Yang, Wei Sun, Yafei Jiang, Yingqi Hua   +34 more
wiley   +1 more source

Multiscale Regulation of Ru‐Based Catalysts for Upgrading Biomass‐Derived Levulinic Acid and Levulinates to γ‐Valerolactone: Mechanisms, Advances, and Challenges

Advanced Science, EarlyView.
This review summarizes recent advances in the mechanistic, thermodynamic, and kinetic studies of biomass‐derived levulinic acid/levulinates conversion to γ‐valerolactone, along with the corresponding multiscale regulation strategies of Ru‐based catalysts.
Xin Ni, Cailu Xiao, Gongbing Zhou, Jingzi Zhang   +3 more
wiley   +1 more source

Indulgent Parenting and Adolescents’ Maladjustments: The Roles of Cultural Context and Parental Gender

Children
Background/Objectives. Adolescence is a critical developmental stage marked by the exploration of independence and self-identity. In this study, we aimed to examine the association between indulgent parenting (characterized by high responsiveness and low
Qinglan Feng, Yanyun Yang, Ming Cui
doaj   +1 more source

Parameter Estimation of Structural Equation Modeling Using Bayesian Approach

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016
Leadership is a process of influencing, directing or giving an example of employees in order to achieve the objectives of the organization and is a key element in the effectiveness of the organization.
Dewi Kurnia Sari, Ni Wayan Surya Wardhani, Suci Astutik   +2 more
doaj   +1 more source

Bayesian nonparametric estimators derived from conditional Gibbs structures [PDF]

, 2008
We consider discrete nonparametric priors which induce Gibbs-type exchangeable random partitions and investigate their posterior behavior in detail.
PRUENSTER, IGOR, Lijoi, Antonio, Walker, Stephen G., PRUENSTER I., Prunster, Igor, WALKER S. G.   +5 more
core   +1 more source

An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization

Advanced Science, EarlyView.
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang, Yanting Xu, Yue Zhang, Yan Zhang, Jianfeng Li, Ming Li, Longlin Lei, Wenda Bao, Weixuan Zeng, Shisheng Xiong   +9 more
wiley   +1 more source

Bayesian Learning of Markov Network Structure [PDF]

, 2006
We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend naive Bayes classifiers and outperform existing directed probabilistic classifiers (Bayesian networks) of similar ...
Rish, Irina, Aleks Jakulin, Jakulin, Aleks, Irina Rish   +3 more
core   +2 more sources

Bayesian parametric bootstrap for models with intractable likelihoods [PDF]

, 2019
In this paper it is demonstrated how the Bayesian parametric bootstrap can be adapted to models with intractable likelihoods. The approach is most appealing when the computationally efficient semi-automatic approximate Bayesian computation (ABC) summary ...
Christopher C. Drovandi, Anthony N. Pettitt, Vo, Brenda N., Pettitt, Anthony N., Drovandi, Christopher C., Brenda N. Vo   +5 more
core   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source