中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [6]
寒区旱区环境与工程研... [1]
云南天文台 [1]
沈阳应用生态研究所 [1]
生态环境研究中心 [1]
采集方式
OAI收割 [9]
iSwitch采集 [1]
内容类型
期刊论文 [7]
SCI/SSCI论文 [2]
学位论文 [1]
发表日期
2018 [4]
2017 [2]
2016 [1]
2013 [1]
2012 [2]
学科主题
天文学 [1]
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Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2018, 卷号: 379, 页码: 39-53
作者:
Ren, Xiaoli
;
He, Honglin
;
Zhang, Li
;
Li, Fan
;
Liu, Min
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/05/23
Sensitivity analysis
Uncertainty analysis
Morris global sensitivity analysis method
Markov Chain Monte Carlo (MCMC)
Sobol' variance decomposition method
Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2018, 页码: 39-53
作者:
Zhang, Li
;
Ren, Xiaoli
;
Zhang, Junhui
;
Yu, Guirui
;
Liu, Min
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2018/09/10
Sensitivity analysis
Uncertainty analysis
Morris global sensitivity analysis method
Markov Chain Monte Carlo (MCMC)
Sobol' variance decomposition method
Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2018, 卷号: 379, 页码: 39-53
作者:
Ren, Xiaoli
;
He, Honglin
;
Zhang, Li
;
Li, Fan
;
Liu, Min
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/05/23
Sensitivity analysis
Uncertainty analysis
Morris global sensitivity analysis method
Markov Chain Monte Carlo (MCMC)
Sobol' variance decomposition method
Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2018, 卷号: 379, 页码: 39-53
作者:
Ren, Xiaoli
;
He, Honglin
;
Zhang, Li
;
Li, Fan
;
Liu, Min
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/05/23
Sensitivity analysis
Uncertainty analysis
Morris global sensitivity analysis method
Markov Chain Monte Carlo (MCMC)
Sobol' variance decomposition method
一种适用于标准水生动物急性毒性试验的简化 TKTD模型
学位论文
OAI收割
北京: 中国科学院大学, 2017
作者:
李兆利
  |  
收藏
  |  
浏览/下载:108/0
  |  
提交时间:2018/06/28
急性毒性
Tktd模型
Acute Toxicity
Mcmc方法
Tktd Model
致死速率 Kk
Mcmc Method
Killing Rate Kk
An extension of stochastic volatility model with mixed frequency information
期刊论文
iSwitch采集
ECONOMICS LETTERS, 2017, 卷号: 155, 页码: 144-148
作者:
Shang, Yuhuang
;
Liu, Lulu
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/10/09
Stochastic volatility
Mixed-frequency
Monte Carlo experiment
MCMC method
Unobservable component
Light curve inversion of asteroid (585) Bilkis with Lommel-Seeliger ellipsoid method
期刊论文
OAI收割
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2016, 卷号: 16, 期号: 12, 页码: 1-8
作者:
Wang A(王翱)
;
Wang XB(王晓彬)
;
Muinonen, Karri
;
Han, Xianming L.
;
Wang YB(王夷博)
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2017/03/29
Asteroids
Photometric Observation
Spin Parameter
Shape
Mcmc Method
Uncertainty analysis of modeled carbon and water fluxes in a subtropical coniferous plantation
SCI/SSCI论文
OAI收割
2013
作者:
Li F.
;
Zhang L.
;
Zhang L.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2014/12/24
ecosystem model
sensitivity analysis
uncertainty analysis
Markov
Chain Monte Carlo (MCMC)
Sobol' method
net ecosystem exchange
sub-alpine forest
sensitivity-analysis
climate-change
parameter-estimation
diffuse-radiation
data
assimilation
co2 exchange
photosynthesis
feedbacks
Multi-scale decomposition of point process data
期刊论文
OAI收割
GEOINFORMATICA, 2012, 卷号: 16, 期号: 4, 页码: 625-652
Pei, T
;
Gao, JianHuan(高建寰)
;
Ma, T
;
Zhou, CH
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2013/04/08
Density based clustering method
Homogeneous point process
Wavelet transform
MCMC
EM
kth nearest distance
Multi-scale decomposition of point process data
SCI/SSCI论文
OAI收割
2012
作者:
Ma T.
;
Pei T.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2014/12/24
Density based clustering method
Homogeneous point process
Wavelet
transform
MCMC
EM
kth nearest distance
nearest-neighbor method
delaunay triangulation
density-estimation
genetic algorithm
spatial-patterns
cluster-analysis
model
features
inference
space