- STOR 881 Object Oriented Data Analysis – Fall 2019🔍
- Applying Functional Data Analysis to Assess Tele|Interpersonal ...🔍
- On Functional Data Analysis with Dependent Errors🔍
- Functional Data Analysis with R🔍
- Department of Statistics and Data Science Courses < Carnegie ...🔍
- Geostatistical Functional Data Analysis🔍
- Functional Data Analysis 🔍
- Methods in Functional Data Analysis🔍
PhD course An Introduction to Functional Data Analysis
STOR 881 Object Oriented Data Analysis – Fall 2019
... Function Methylation Data; STOR881-11-21-2019.pptx: K-Means Clustering ... (2015) Class-Sensitive Principal Components Analysis , UNC PhD Dissertation, ...
Applying Functional Data Analysis to Assess Tele-Interpersonal ...
Additional simulation studies were conducted to compare FDA and linear mixed models under a different nonlinear trajectory assumption. In this clinical trial ...
On Functional Data Analysis with Dependent Errors - KOPS
Jan. Beran for his greatest trust, patient guidance and continuous support of my PhD study. No matter how stupid things I made, he forgave me and showed me the.
Functional Data Analysis with R - 1st Edition - Ciprian M. Crainiceanu
Functional Data Analysis with R is primarily aimed at undergraduate, master's, and PhD students, as well as data scientists and researchers ...
Department of Statistics and Data Science Courses < Carnegie ...
The course covers simple and multiple regression, basic analysis of variance methods, logistic regression, and introduction to data mining including ...
Geostatistical Functional Data Analysis - Wiley
1 Introduction to Geostatistical Functional Data Analysis 1. Jorge Mateu and ... 5.3 A Motivating Case Study: Particle-Size Data in Heterogeneous Aquifers –Data ...
Functional Data Analysis (FDA) - Statistics.com
Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that ...
Methods in Functional Data Analysis: Forecast Evaluation, Robust ...
... overview of the foundational concepts and methodologies that will ... studies show that the parameter estimates of the proposed method ...
Applications of functional data analysis: A systematic review
Overview of the published FDA studies. Table 1 summarizes the final set of reviewed papers, and shows fields of application, outcome of interest, and use of ...
Shape-based functional data analysis | TEST
1 Introduction. Statistical analysis of functional data has become a prominent field of research and practice in recent years. The growing ...
Shape-based functional data analysis (Anuj Srivastava) - YouTube
Chairs: Ana M. Aguilera and José M. Angulo (Department of Statistics and Operations Research, University of Granada, Spain) Co-authors: ...
Explaining Neural Network Predictions for Functional Data Using ...
A brief overview and summary of my internship experience. 3. Page 4. Sandia National Labs. All statements and images from the Sandia website ...
Applied Functional Data Analysis: Methods and Case Studies
vi Preface Functional data analysis is very much involved with computational ... introduced by case studies in the present volume. That book also ...
The ECAS 2013 session will give a general overview of the methodological and practical aspects of Functional Data Analysis (FDA) with recent advances.
Topological Data Analysis: an introduction with examples and ...
... functional data. We will show how TDA representations solve ... His PhD research is centered on Merge Trees in Topological Data Analysis.
Functional data analysis characterizes the shapes of the first COVID ...
Curves are smoothed with splines, with degree of smoothing selected by generalized cross-validation (see Methods). ISTAT curves “take off” ...
Functional data analysis with R and MATLAB | Request PDF
The previous two chapters have introduced the Matlab and R code needed to specify basis function systems and then to define curves by combining these ...
Multivariate Functional Data Analysis and Visualization
As a branch of statistics, functional data analysis (FDA) studies observations regarded as curves, surfaces ... functional data is introduced in Chapter 4.
Functional Data Analysis with R and MATLAB - (Use R!) by James ...
The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis ...
Robust Methods for Functional Data Analysis - AUETD
Extensive simulation study is conducted to evaluate the performance of the ... Further we introduce robust diagnostic measures for identifying influential ...