Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
基本信息
- 批准号:DGECR-2019-00453
- 负责人:
- 金额:$ 0.91万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Launch Supplement
- 财政年份:2019
- 资助国家:加拿大
- 起止时间:2019-01-01 至 2020-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Wang, Linbo其他文献
A Two-Coordinate Cobalt(II) Imido Complex with NHC Ligation: Synthesis, Structure, and Reactivity
- DOI:
10.1002/anie.201505937 - 发表时间:
2015-10-19 - 期刊:
- 影响因子:16.6
- 作者:
Du, Jingzhen;Wang, Linbo;Deng, Liang - 通讯作者:
Deng, Liang
Segmentation of yeast cell's bright-field image with an edge-tracing algorithm
使用边缘跟踪算法分割酵母细胞的明场图像。
- DOI:
10.1117/1.jbo.23.11.116503 - 发表时间:
2018-11-01 - 期刊:
- 影响因子:3.5
- 作者:
Wang, Linbo;Li, Simin;Li, Hui - 通讯作者:
Li, Hui
Feasibility of using Y2Ti2O7 nanoparticles to fabricate high strength oxide dispersion strengthened Fe-Cr-Al steels
利用Y2Ti2O7纳米粒子制备高强度氧化物弥散强化Fe-Cr-Al钢的可行性
- DOI:
10.1016/j.matdes.2015.08.118 - 发表时间:
2015-12-25 - 期刊:
- 影响因子:8.4
- 作者:
Liu, Tong;Wang, Linbo;Zhang, Hongtao - 通讯作者:
Zhang, Hongtao
Modelling infant failure rate of electromechanical products with multilayered quality variations from manufacturing process
对制造过程中具有多层质量变化的机电产品的早期故障率进行建模
- DOI:
10.1080/00207543.2016.1154215 - 发表时间:
2016-01-01 - 期刊:
- 影响因子:9.2
- 作者:
He, Yihai;Wang, Linbo;Xiao, Xun - 通讯作者:
Xiao, Xun
Cell migration orchestrates migrasome formation by shaping retraction fibers.
- DOI:
10.1083/jcb.202109168 - 发表时间:
2022-04-04 - 期刊:
- 影响因子:7.8
- 作者:
Fan, Changyuan;Shi, Xuemeng;Zhao, Kaikai;Wang, Linbo;Shi, Kun;Liu, Yan-Jun;Li, Hui;Ji, Baohua;Jiu, Yaming - 通讯作者:
Jiu, Yaming
Wang, Linbo的其他文献
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{{ truncateString('Wang, Linbo', 18)}}的其他基金
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPIN-2019-07052 - 财政年份:2022
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Individual
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPIN-2019-07052 - 财政年份:2021
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Individual
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPIN-2019-07052 - 财政年份:2020
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Individual
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPAS-2019-00093 - 财政年份:2020
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPAS-2019-00093 - 财政年份:2019
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPIN-2019-07052 - 财政年份:2019
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Individual
相似海外基金
CAREER: Computer-Intensive Statistical Inference on High-Dimensional and Massive Data: From Theoretical Foundations to Practical Computations
职业:高维海量数据的计算机密集统计推断:从理论基础到实际计算
- 批准号:
2347760 - 财政年份:2023
- 资助金额:
$ 0.91万 - 项目类别:
Continuing Grant
Bilinear Inference Based on Belief Propagation for Non-Orthogonal Multiple Access with Massive IoT Devices
基于置信传播的海量物联网设备非正交多址双线性推理
- 批准号:
23K13335 - 财政年份:2023
- 资助金额:
$ 0.91万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPIN-2019-07052 - 财政年份:2022
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Individual
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPIN-2019-07052 - 财政年份:2021
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Individual
Collaborative Research: Aggregated Monte Carlo: A General Framework for Distributed Bayesian Inference in Massive Spatiotemporal Data
合作研究:聚合蒙特卡罗:海量时空数据中分布式贝叶斯推理的通用框架
- 批准号:
2220840 - 财政年份:2021
- 资助金额:
$ 0.91万 - 项目类别:
Standard Grant
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPIN-2019-07052 - 财政年份:2020
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Individual
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPAS-2019-00093 - 财政年份:2020
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Causal Inference with Massive and Complex data: High-dimensionality and Network Interference
海量复杂数据的因果推理:高维和网络干扰
- 批准号:
RGPAS-2019-00093 - 财政年份:2019
- 资助金额:
$ 0.91万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Collaborative Research: Aggregated Monte Carlo: A General Framework for Distributed Bayesian Inference in Massive Spatiotemporal Data
合作研究:聚合蒙特卡罗:海量时空数据中分布式贝叶斯推理的通用框架
- 批准号:
1854662 - 财政年份:2019
- 资助金额:
$ 0.91万 - 项目类别:
Standard Grant
Collaborative Research: Aggregated Monte Carlo: A General Framework for Distributed Bayesian Inference in Massive Spatiotemporal Data
合作研究:聚合蒙特卡罗:海量时空数据中分布式贝叶斯推理的通用框架
- 批准号:
1854667 - 财政年份:2019
- 资助金额:
$ 0.91万 - 项目类别:
Standard Grant