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Biotechnologies for Plant Mutation Breeding
Protocols...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Small deviations of stable processes and entropy of the associated random operators
We investigate the relation between the small deviation problem for a symmetric $\alpha$-stable random vector in a Banach space and the metric entropy properties of the operator generating it. This ge...
View Book →The computer generation of discrete random variables and vectors
First published in 1979...
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Wald Tests of Singular Hypotheses
Motivated by the problem of testing tetrad constraints in factor analysis, we study the large-sample distribution of Wald statistics at parameter points at which the gradient of the tested constraint ...
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Limit theorems for sums of dependent random vectors in R[superscript d]
First published in 1977...
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Star Wars - The New Jedi Order - Vector Prime
First published in 1999...
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Shadow couplings
A classical result of Strassen asserts that given probabilities $\mu, \nu$ on the real line which are in convex order, there exists a \emph{martingale coupling} with these marginals, i.e.\ a random ve...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Handbook of Mathematical Geosciences
Fifty Years of IAMG...
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Water Resource Systems Planning and Management
An Introduction to Methods, Models, and Applications...
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Decomposition of random variables and vectors
First published in 1977...
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Security in Computer and Information Sciences
First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, London, UK, February 26-27, 2018, Revised Selected Papers...
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A comparison of methods for generating multivariate normal random vectors
First published in 1970...
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Bayesian Methods in the Search for MH370
...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Understanding Machine Learning
From Theory to Algorithms...
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PivotCompress: Compression by Sorting
Sorted data is usually easier to compress than unsorted permutations of the same data. This motivates a simple compression scheme: specify the sorted permutation of the data along with a representatio...
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A new perspective on least squares under convex constraint
Consider the problem of estimating the mean of a Gaussian random vector when the mean vector is assumed to be in a given convex set. The most natural solution is to take the Euclidean projection of th...
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Primary Angioplasty
A Practical Guide...
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Introduction to the Theory of Statistics
...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Non-Vitamin K Antagonist Oral Anticoagulants
A Concise Guide...
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Stochastics of Environmental and Financial Economics
Centre of Advanced Study, Oslo, Norway, 2014-2015...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
View Book →An introduction to random variables, random vectors and stochastic processes
First published in 2019...
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Ergodicity of group actions and spectral gap, applications to random walks and Markov shifts
Let $(X, \cal B, \nu)$ be a probability space and let $\Gamma$ be a countable group of $\nu$-preserving invertible maps of $X$ into itself. To a probability measure $\mu$ on $\Gamma$ corresponds a ran...
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Sum-of-squares lower bounds for planted clique
Finding cliques in random graphs and the closely related "planted" clique variant, where a clique of size k is planted in a random G(n, 1/2) graph, have been the focus of substantial study in algorith...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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The Brownian Motion
A Rigorous but Gentle Introduction for Economists...
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Phase Retrieval via Incremental Truncated Wirtinger Flow
In the phase retrieval problem, an unknown vector is to be recovered given quadratic measurements. This problem has received considerable attention in recent times. In this paper, we present an algori...
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An Invitation to Statistics in Wasserstein Space
...
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Computer and Information Sciences
31st International Symposium, ISCIS 2016, Kraków, Poland, October 27–28, 2016, Proceedings...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Statistical Learning and Sequential Prediction
...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Variant Construction from Theoretical Foundation to Applications
...
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10 PRINT CHR$(205.5+RND(1)); : GOTO 10
A single line of code offers a way to understand the cultural context of computing...
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Geometrical aspects of measures of dependence for random vectors
First published in 1988...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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On generalized max-linear models
We propose a way how to generate a max-stable process in $C[0,1]$ from a max-stable random vector in $\R^d$ by generalizing the \emph{max-linear model} established by Wang and Stoev (2011). It turns o...
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Intersecting families of discrete structures are typically trivial
The study of intersecting structures is central to extremal combinatorics. A family of permutations $\mathcal{F} \subset S_n$ is \emph{$t$-intersecting} if any two permutations in $\mathcal{F}$ agree ...
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The Challenge of Chance
A Multidisciplinary Approach from Science and the Humanities...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
View Book →Large-deviation theorems for sums of independent and identically distributed random vectors
First published in 2005...
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Bayesian Estimation with Distance Bounds
We consider the problem of estimating a random state vector when there is information about the maximum distances between its subvectors. The estimation problem is posed in a Bayesian framework in whi...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
View Book →Worked Examples in Vectors
First published in 1970...
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Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Appr
We propose a method for inferring the conditional independence graph (CIG) of a high-dimensional Gaussian vector time series (discrete-time process) from a finite-length observation. By contrast to ex...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Means and variances of stochastic vector products with applications to random linear models
First published in 1977...
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Moments for multi-dimensional Mandelbrot's cascades
We consider the distributional equation $\textbf{Z}\stackrel{d}{=}\sum_{k=1}^N\textbf{A}_k\textbf{Z}(k) $, where $N$ is a random variable taking value in $\mathbb N_0=\{0,1,\cdots\}$, $\textbf{A}_1,\t...
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Linear Selection Indices in Modern Plant Breeding
...
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Algorithmic Graph Theory and Sage
...
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Planar Maps, Random Walks and Circle Packing
École d'Été de Probabilités de Saint-Flour XLVIII - 2018...
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Feature Construction for Relational Sequence Learning
We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly each relational sequence is ma...
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On the relation between the distributions of stopping time and stopped sum with applications
Let $T\$ be a stopping time associated with a sequence of independent random variables $Z_{1},Z_{2},...$ . By applying a suitable change in the probability measure we present relations between the mom...
View Book →Bounds for the concentration function of a sum of independent random vectors with values in Euclidea
First published in 1975...
View Book →Ind-additive functionals on random vectors
First published in 1970...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Market Segmentation Analysis
Understanding It, Doing It, and Making It Useful...
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Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2018...
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A structural characterization of numeraires of convex sets of nonnegative random variables
We introduce the concept of numeraires of convex sets in the nonnegative orthant of the topological vector space of all random variables built over a probability space. A necessary and sufficient cond...
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Research on Teaching and Learning Probability
...
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Pseudocontinuation and cyclicity for random power series
We prove that a random function in the Hardy space $H^2$ is a non-cyclic vector for the backward shift operator almost surely. The question of existence of a local pseudocontinuation for a random anal...
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On the distribution of the length of a spherical random vector
First published in 1988...
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Foundations of Machine Learning
...
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Evidence-Based Medicine - A Paradigm Ready To Be Challenged?
How Scientific Evidence Shapes Our Understanding And Use Of Medicine...
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Limit Distributions for Sums of Independent Random Vectors
First published in 2001...
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Prediction of Ordered Random Effects in a Simple Small Area Model
Prediction of a vector of ordered parameters or part of it arises naturally in the context of Small Area Estimation (SAE). For example, one may want to estimate the parameters associated with the top ...
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Computer simulation of random variables and vectors with arbitrary probability distribution laws
First published in 1981...
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OpenIntro Statistics
A complete foundation for Statistics, also serving as a foundation for Data Science....
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The Haskell School of Music
From Signals to Symphonies...
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Introductory Business Statistics
...
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Biodiversity and Health in the Face of Climate Change
...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Homotopy Probability Theory II
This is the second of two papers that introduce a deformation theoretic framework to explain and broaden a link between homotopy algebra and probability theory. This paper outlines how the framework c...
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Approximation by the Dickman distribution and quasi-logarithmic combinatorial structures
Quasi-logarithmic combinatorial structures are a class of decomposable combinatorial structures which extend the logarithmic class considered by Arratia, Barbour and Tavar\'{e} (2003). In order to obt...
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Innovations in Quantitative Risk Management
TU München, September 2013...
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