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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Prediction When Factors are Weak
因素较弱 预测 宏观经济预测
2023/5/5
In macroeconomic forecasting, principal component analysis (PCA) has been the most prevalent approach to the recovery of factors, which summarize information in a large set of macro predictors. Nevert...
High Dimensional Stochastic Regression with Latent Factors, Endogeneity and Nonlinearity
α-mixing dimension reduction instrument variables nonstationarity time series
2016/1/26
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors, a linear com-bination of some ...
High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
α-mixing dimension reduction instrument variables nonstationarity time series
2016/1/25
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors,a linear combination of some la...
CreditRisk Model with Dependent Risk Factors
CreditRisk + model conditional independence dependent risk factors
2016/1/20
The CreditRisk + model is widely used in industry for computing the loss of a credit port-folio. The standard CreditRisk + model assumes independence among a set of common risk factors, a simplified a...
High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
α-mixing, dimension reduction instrument variables nonstationarity time series
2016/1/20
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors,a linear combination of some la...
Distribution fitting 13. Analysis of independent, multiplicative effect of factors. Application to effect of essential oils extracts from plant species on bacterial species. Application to factors of antibacterial activity of plant species
factor analysis Negative Binomial distribution Poisson distribution
2011/7/5
A factor effect study was conducted on a set of observations at the contingency of a series of plant species and bacteria species regarding the antibacterial activity of essential oil extracts.
Sensitivity Analysis to Select the Most Influential Risk Factors in a Logistic Regression Model
Risk Factors Logistic Regression Model
2009/9/3
The traditional variable selection methods for survival data depend on iteration procedures, and control of this process assumes tuning parameters that are problematic and time consuming, especially i...
Tree and Grid factors of General Point processes
Point processes factors random tree random grid
2009/4/28
We study isomorphism invariant point processes of R^d; whose groups of symmetries are almost surely trivial. We define a 1-ended, locally finite tree factor on the points of the process, that is, a ma...
Let X and Y be Poisson point processes on the real numbers with rates l_1 and l_2 respectively. We show that if l_1 > l_2, then there exists a deterministic map f such that f(X) and Y have the same di...
Poisson Thinning by Monotone Factors
Poisson Thinning Monotone Factors Poisson point processes
2009/4/7
Let X and Y be Poisson point processes on the real numbers with rates l_1 and l_2 respectively. We show that if l_1 > l_2, then there exists a deterministic map f such that f(X) and Y have the same di...
Theoretical Justification of Decision Rules for the Number of Factors: Principal Component Analysis as a Substitute for Factor Analysis in One-Factor Cases
cubic equation greater-than-one rule number of factors principal component analysis representation of a polynomial in terms of a remainder sequence scree test
2009/3/5
Applying principal component analysis as a substitute for factor analysis, we often adopt the following greater-than-one rule to decide the number of factors, k: Take the number of eigenvalues of the ...
Scaling factors for ab initio vibrational frequencies：comparison of uncertainty models for quantified prediction
Bayesian data analysis Model calibration Scaling factor Vibrational frequency
2010/3/17
Bayesian Model Calibration is used to revisit the problem of scaling factor calibration for
semi-empirical correction of ab initio calculations. A particular attention is devoted to
uncertainty eval...
Statistical testing procedure for the interaction effects of several controllable factors in two-valued input-output systems
Confoundings Contingency tables Controllable factors Covariate matrix Generalized linear models Hierarchical models
2010/4/29
Suppose several two-valued input-output systems are designed by setting the
levels of several controllable factors. For this situation, Taguchi method has proposed
to assign the controllable factors...
Investigating Academic Success Factors for Undergraduate Business Students
Academic Success Factors Undergraduate Business Students
2018/3/7
How predictable is the academic success of individual undergraduate students at an
AACSB-accredited business school? As a group, undergraduate business students pose many
different intelligence leve...