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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Shape-on-Scalar Regression Models: Going Beyond Prealigned Non-Euclidean Responses
标量 形状回归模型 超越预先对齐 非欧几里得
2023/5/5
The problem of using covariates to predict shapes of objects in a regression setting is important in many fields. A formal statistical approach, termed geodesic regression model, is commonly used for ...
Homomorphic Training of 30,000 Logistic Regression Models
Approximate numbers Homomorphic encryption GWAS
2019/4/28
In this work, we demonstrate the use the CKKS homomorphic encryption scheme to train a large number of logistic regression models simultaneously, as needed to run a genome-wide association study (GWAS...
Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models
body weight genetic parameters growth curves
2018/11/23
We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to des...
Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
Holstein Dairy Cattle Milk Protein Yields Random Regression Model Test-day Records
2016/12/28
The objective of this study was to estimate the genetic parameters of milk protein yields in Iranian Holstein dairy cattle. A total of 1,112,082 test-day milk protein yield records of 167,269 first la...
MODELLING THE RELATIONSHIP BETWEEN LAND SURFACE TEMPERATURE AND LANDSCAPE PATTERNS OF LAND USE LAND COVER CLASSIFICATION USING MULTI LINEAR REGRESSION MODELS
Land Surface Temperature Land Use Land Cover Multiple Linear Regression LiDAR Spatial Metrics
2016/12/1
The threat of the ailments related to urbanization like heat stress is very prevalent. There are a lot of things that can be done to lessen the effect of urbanization to the surface temperature of the...
Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation
privacy-preserving private data
2016/7/29
Many data-driven personalized services require that private data of users is scored against a trained machine learning model. In this paper we propose a novel protocol for privacy-preserving classific...
Random Regression Models Are Suitable to Substitute the Traditional 305-Day Lactation Model in Genetic Evaluations of Holstein Cattle in Brazil
Legendre Polynomials 305-Day Milk Yield Breeding Values Reliability Brazilian Holstein
2016/7/27
The aim of this study was to compare two random regression models (RRM) fitted by fourth (RRM4) and fifth-order Legendre polynomials (RRM5) with a lactation model (LM) for evaluating Holstein cattle i...
Models for Estimating Genetic Parameters of Milk Production Traits Using Random Regression Models in Korean Holstein Cattle
Random Regression Model Test Day Yield Milk Production Heritability Holstein
2016/5/20
The objectives of the study were to estimate genetic parameters for milk production traits of Holstein cattle using random regression models (RRMs), and to compare the goodness of fit of various RRMs ...
Estimation of fixed effects panel regression models with separable and nonseparable space-time filters
Panel data Spatial cointegration Explosive roots Fixed e¤ects
2016/1/25
This paper considers a quasi-maximum likelihood estimation for a linear panel data model with time and individual …xed e¤ects, where the disturbances have dynamic and spatial correlations which might ...
Estimation of fixed effects panel regression models with separable and nonseparable space-time filters
Spatial autoregression Panel data Spatial cointegration Explosive roots Fixed e¤ects
2016/1/20
This paper considers a quasi-maximum likelihood estimation for a linear panel data model with time and individual …xed e¤ects, where the disturbances have dynamic and spatial correlations which might ...
ANALYSIS OF LANDSLIDE HAZARD MAPPING METHODS:REGRESSION MODELS VERSUS WEIGHT RATING
Susceptibilty Quantitative Method Qualitative Method Spatial Regression Logistic Regression Heuristic Approach ROC Curve
2015/12/28
Hazards due to landslides cause huge sufferings to human and substantial economic and environmental losses throughout the world. For the assessment of the landslide hazard, different methodological ap...
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS
ADAPTIVE SPLINE ESTIMATES NONPARAMETRIC REGRESSION MODELS
2015/8/25
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS.
Boosted Varying-Coefficient Regression Models for Product Demand Prediction
Boosting gradient descent tree-based regression varying-coefficient model
2015/8/21
Estimating the aggregated market demand for a product in a dynamic market is critical to manufacturers and retailers. Motivated by the need for a statistical demand prediction model for laptop pricing...
Spatial distribution of land type in regression models of pollutant loading
GIS Non-point source pollution nutrient export spatial distribution regression modeling
2015/8/11
This paper proposes a method to improve landscape-pollution interaction regression models through the inclusion of a variable that describes the spatial distribution of a land type with respect to the...
Genetic Parameters for Milk Yield and Lactation Persistency Using Random Regression Models in Girolando Cattle
Lactation Persistency Legendre’s Polynomials Random Regression Model Cattle
2016/5/19
A total of 32,817 test-day milk yield (TDMY) records of the first lactation of 4,056 Girolando cows daughters of 276 sires, collected from 118 herds between 2000 and 2011 were utilized to estimate the...