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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Causal Inference based models and their applications in Banking
因果推理 模型 银行业
2023/11/29
Causal inference is a permanent challenge topic in statistics, data science, and many other applied fields. Existing machine learning methods often focus on the correlations in the data and ignore the...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Bootstrap-based Statistical Analysis for Multi-period Data-driven Inventory Models with Seasonal Demand
自举 统计分析 季节性需求 多周期数据 驱动库存模型
2023/4/24
We study multi-period inventory control systems in which managers face seasonal demands with unknown distributions and make inventory decisions based on past demand data. It can be shown that a data-d...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Fixed Effects Bayesian Testing in High-Dimensional Linear Mixed Models
高维 线性混合模型 固定效应 贝叶斯检验
2023/5/5
Hypothesis testing on high-dimensional fixed effects is indispensable for investigating the utility of the predictors on response. In this case, the conventional frequentist methods designed for cases...
2018高维统计模型的贝叶斯计算研讨会（Workshop on Bayesian Computation for High-Dimensional Statistical Models）
2018 高维统计模型的贝叶斯计算 研讨会
2017/12/20
In recent years there has been an explosion of complex data-sets in areas as diverse as Bioinformatics, Ecology, Epidemiology, Finance, subsurface Geophysics, Meteorology, and Population genetics. In ...
中山大学岭南学院高级计量经济学课件（II：Time series）CH5 Vector Autoregression (VAR) Models
中山大学岭南学院 高级计量经济学 课件（II：Time series） CH5 Vector Autoregression (VAR) Models
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Time series）CH5 Vector Autoregression (VAR) Models。
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH1 Static Panel Data Models
中山大学岭南学院 高级计量经济学 课件（II：Panel Data） CH1 Static Panel Data Models
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH1 Static Panel Data Models。
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH5 Nonparametric Estimation of Panel Data Models
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH5 Nonparametric Estimation of Panel Data Models
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH5 Nonparametric Estimation of Panel Data Models。
Varying Naive Bayes Models with Applications toClassi cation of Chinese Text Documents
BIC Chinese Document Classification Screening Consistency
2016/1/25
Document classification is an area of great importance for which many clas-sification methods have been well developed. However, most of these methods cannot generate time-dependent classification rul...
Closed-form expansions of discretely monitored asian options in diffusion models
discretely monitored Asian options the CEV model the CIR process the Black-Scholes model the Brennan and Schwartz process small-time expansion
2016/1/20
In this paper we propose a closed-form asymptotic expansion approach to pricing discretely monitored Asian options in general one-dimensional diffusion models. Our expansion is a small-time expansion ...
Estimation in semiparametric models with missing data
Copulas imputation kernel smoothing missing at random nuisance function partially linear model
2016/1/20
This paper considers the problem of parameter estimation in a general class of semiparametric models when observations are subject to missingness at random.The semiparametric models allow for estimati...
Asymptotic equivalence for nonparametric generalized linear models
Nonparametric regression Statistical experiment De® - ciency distance Global white noise approximation Exponential family Variance stabilizing transformation
2015/8/25
We establish that a non-Gaussian nonparametric regression model is asymptotically equivalent to a regression model with Gaussian noise. The approximation is in the sense of Le Cam's de®- ciency d...
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS
ADAPTIVE SPLINE ESTIMATES NONPARAMETRIC REGRESSION MODELS
2015/8/25
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS.
Metricsand Models forHandwritten CharacterRecognition
Nearest Neighbor Classification invariance
2015/8/21
Metricsand Models forHandwritten CharacterRecognition.
Principal component models for sparse functional data
Functional data analysis Principal components Mixed effects model Reduced rank estimation Growth curve
2015/8/21
The elements of a multivariate data set are often curves rather than single points. Functional principal components can be used to describe the modes of variation of such curves. If one has complete m...
We study linear smoothers and their use in building nonparametric regression models. In the first part of this paper we examine certain aspects of linear smoothers for scatterplots; examples of these ...