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长安大学理学院数学与统计学科师资概况
长安大学理学院 信息与计算科学 统计学
2023/3/31
信息与计算科学系现有专任教师20人，其中教授3人、副教授7人，具有博士学位的教师17人，占专任教师比例85%。教师中有陕西省师德标兵、陕西省师德先进个人、陕西省科学技术一、二等奖、陕西省示范教学竞赛一等奖获得者。
统计学缘起于“国势学”“国情学”，意在对各国国情做出描述、分析和比较。统计智库的任务是借助统计调查、统计模型等统计学方法，对经济社会发展情况进行分析和预测，向政府和社会提供统计资料和统计咨询意见。
基于因子分析的应收账款质量评价
因子分析法 应收账款质量 营运资金管理 信用管理
2017/5/9
应收账款是企业流动资产的重要组成部分，其质量直接决定了企业资金的循环速度，从而对企业收益质量、财务状况产生一定的影响。因此，应收账款对制定企业信用策略至关重要。本文构建了应收账款质量评价体系，并结合华东地区医药类上市公司数据，应用因子分析法进行了综合评价。
Alternating Decision trees for early diagnosis of dengue fever
Alternating Decision trees early diagnosis dengue fever
2013/6/17
Dengue fever is a flu-like illness spread by the bite of an infected mosquito which is fast emerging as a major health problem. Timely and cost effective diagnosis using clinical and laboratory featur...
We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolute scale. This has se...
Relationships between eigen and complex network techniques for the statistical analysis of climate data
eigen complex network techniques statistical analysis climate data
2013/6/17
Eigen techniques such as empirical orthogonal function (EOF) or coupled pattern (CP) analysis have been frequently used for detecting patterns in multivariate climatological data sets. Recently, stati...
Reinforcement Learning for the Soccer Dribbling Task
Reinforcement Learning Soccer Dribbling Task
2013/6/17
We propose a reinforcement learning solution to the \emph{soccer dribbling task}, a scenario in which a soccer agent has to go from the beginning to the end of a region keeping possession of the ball,...
Direct coupling information measure from non-uniform embedding
Direct coupling information measure non-uniform embedding
2013/6/17
A measure to estimate the direct and directional coupling in multivariate time series is proposed. The measure is an extension of a recently published measure of conditional Mutual Information from Mi...
Narrowing the gap on heritability of common disease by direct estimation in case-control GWAS
Narrowing the gap heritability common disease direct estimation case-control GWAS
2013/6/17
One of the major developments in recent years in the search for missing heritability of human phenotypes is the adoption of linear mixed-effects models (LMMs) to estimate heritability due to genetic v...
Statistical modelling of summary values leads to accurate Approximate Bayesian Computations
Statistical modelling summary values leads accurate Approximate Bayesian Computations
2013/6/14
Approximate Bayesian Computations (ABC) are considered to be noisy. We show that ABC can be set up to estimate the mode of the true posterior density exactly, or alternatively provide unbiased estimat...
Does "model-free" forecasting really outperform the "true" model? A reply to Perretti et al
"model-free" forecasting outperform "true" model
2013/6/14
Estimating population models from uncertain observations is an important problem in ecology. Perretti et al. observed that standard Bayesian state-space solutions to this problem may provide biased pa...
Online Learning in a Contract Selection Problem
Online Learning Contract Selection Problem
2013/6/14
In an online contract selection problem there is a seller which offers a set of contracts to sequentially arriving buyers whose types are drawn from an unknown distribution. If there exists a profitab...
A Scoring System for Continuous Glucose Monitor Data
Scoring System Continuous Glucose Monitor Data
2013/6/14
As continuous glucose monitors (CGMs) are used increasingly by diabetic patients, new and intuitive tools are needed to help patients and their physicians use these streams of data to improve blood gl...
Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems
Tikhonov Regularized Estimators Reproducing Kernel Hilbert Spaces Statistical Inverse Problems
2013/6/13
Regularized kernel methods such as support vector machines (SVM) and support vector regression (SVR) constitute a broad and flexible class of methods which are theoretically well investigated and comm...
Feature Selection Based on Term Frequency and T-Test for Text Categorization
feature selection term frequency t-test text classification
2013/6/14
Much work has been done on feature selection. Existing methods are based on document frequency, such as Chi-Square Statistic, Information Gain etc. However, these methods have two shortcomings: one is...