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Table of Contents

  • Mathematics for the liberal arts

  • Randomized phase II cancer clinical trials

  • Survey sampling

  • Essentials of a successful biostatistical collaboration

  • Applied survey data analysis

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AI for cars
The Sharpe ratio : statistics and applications
Using R and RStudio for data management, statistical analysis, and graphics
Advanced R solutions
Deep learning : a comprehensive guide
Philosophy of mathematics : classic and contemporary studies
Portfolio optimization
Linear mixed models : a practical guide using statistical software
Backseat driver : the role of data in great car safety debates
Galois theory
Time series for data science : analysis and forecasting
Artificial intelligence and causal inference
Numerical methods for unsteady compressible flow problems
Soft computing techniques for type-2 diabetes data classification
An invitation to the Rogers-Ramanujan identities
Statistical methods for handling incomplete data
Infinite groups : a roadmap to selected classical areas
Surrogates : Gaussian process modeling, design, and optimization for the applied sciences
Measure theory and integration
Supervised machine learning for text analysis in R
Resource proportional software design for emerging systems
Statistical theory : a concise introduction
ANOVA and mixed models : a short introduction using R
AI for cars
Massive graph analytics
Urban informatics : using big data to understand and serve communities
Machine learning for factor investing : R version
Mathematica beyond mathematics : the Wolfram language in the real world
Handbook of graphs and networks in people analytics : with examples in R and Python
Python for beginners
Spatial data science : with applications in R
Using R for Bayesian spatial and spatio-temporal health modeling
GPU parallel program development using CUDA
Optimal reference shaping for dynamical systems : theory and applications
Hands-on data science for librarians
Spatio-temporal methods in environmental epidemiology with R
Your essential guide to quantitative hedge fund investing
Lie algebraic methods in integrable systems
Cyber crime in social media : theory and solutions
Functional analysis and topology
Nonlinear dynamics and chaos : with applications to physics, biology, chemistry, and engineering
Fractional integral transforms : theory and applications
Digital health : a primer
Graphs & digraphs
Multilevel modeling using R
An introduction to astronomy and astrophysics
Extending structures : fundamentals and applications
Intelligent copyright protection for images
The art of coding : the language of drawing, graphics, and animation
Elastic waves : high frequency theory
An invitation to algebraic numbers and algebraic functions
50 years of combinatorics, graph theory, and computing
Dynamic treatment regimes : statistical methods for precision medicine
Special functions and analysis of differential equations
Supervised machine learning : optimization framework and applications with SAS and R
The end of error : unum computing
Evaluating climate change impacts
Algorithmic trading and quantitative strategies
Statistical rethinking : a Bayesian course with examples in R and Stan
Reinforcement learning for cyber-physical systems : with cybersecurity case studies
Structural equation modelling with partial least squares using stata and R
Beyond multiple linear regression : applied generalized linear models and multilevel models in R
Time series : a first course with bootstrap starter
Secret history : the story of cryptology
Probability, choice, and reason
Linear algebra to differential equations
Population genomics with R
Time series : modeling, computation, and inference
Object oriented data analysis
Philosophy of mathematics : classic and contemporary studies
Handbook of statistical methods for randomized controlled trials
Artificial intelligence : technologies, applications, and challenges
Patterned random matrices
Handbook of statistical methods and analyses in sports
A tour of data science : learn R and Python in parallel
Probability, statistics, and data : a fresh approach using R
Diffusion processes, jump processes, and stochastic differential equations
Engineering fundamentals
Mathematical concepts
Analysis on manifolds
Partial differential equations : topics in Fourier analysis
Galois theory
AI by design : a plan for living with artificial intelligence
A guide to business mathematics
Understanding regression analysis : a conditional distribution approach
Bayesian inference with INLA
Data structures using C : a practical approach for beginners
Integrals related to the error function
Bayesian analysis of infectious diseases : COVID-19 and beyond
The energy of data and distance correlation
Numerical analysis and scientific computation
Flexible regression and smoothing : using GAMLSS in R
Introduction to computational engineering with MATLAB
Introduction to stochastic finance with market examples
Topics in graph theory
Analyzing US census data : methods, maps, and models in R
Bayesian nonparametrics for causal inference and missing data
Statistical inference via data science : a ModernDive into R and the tidyverse
Beyond first order model theory
An introduction to R and Python for data analysis : a side-by-side approach
Direct and projective limits of geometric Banach structures
Generalized notions of continued fractions : ergodicity and number theoretic applications
Tidy finance with R
R companion for sampling : design and analysis
Models for multi-state survival data : rates, risks, and pseudo-values
Big data analytics : a guide to data science practitioners making the transition to big data
Spatial statistics for data science : theory and practice with R
Machine learning toolbox for social scientists : applied predictive analytics with R
Applied categorical and count data analysis
Computer graphics through OpenGL : from theory to experiments
Data science and machine learning for non-programmers : using SAS Enterprise miner
Post-shrinkage strategies in statistical and machine learning for high dimensional data
Modern data visualization with R
Deep learning : a beginners' guide
From concepts to code : introduction to data science
Introduction to fluid dynamics in physics and astrophysics
Analysis of pretest-posttest designs
Statistical analysis of financial data : with examples in R
Reproducible research with R and RStudio
Information technology : an introduction for today's digital world
Exploring linear algebra : labs and projects with MATLAB
Introduction to time series modeling with applications in R
Morrey spaces : introduction and applications to integral operators and PDE's
Understanding elections through statistics : polling, prediction, and testing
Statistical foundation of data science
Game theory : a modeling approach
Measurement models for psychological attributes
Bayesian applications in pharmaceutical development
Learning microeconometrics with R
Analyzing spatial models of choice and judgment
Towards smart world : homes to cities using Internet of things
Information technology : an introduction for today's digital world
Understanding artificial intelligence
Mathematical modeling : branching beyond calculus
Proofs 101 : an introduction to formal mathematics
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国立情報学研究所 : CiNii Research
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