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This textbook provides a self-contained introduction to numerical methods in probability with a focus on applications to finance. Topics covered include the Monte Carlo simulation (including simulation of random variables, variance reduction, quasi-Monte Carlo simulation, and more recent developments such as the multilevel paradigm), stochastic optimization and approximation, discretization schemes of stochastic differential equations, as well as optimal quantization methods. The author further presents detailed applications to numerical aspects of pricing and hedging of financial derivatives, risk measures (such as value-at-risk and conditional value-at-risk), implicitation of parameters, and calibration. Aimed at graduate students and advanced undergraduate students, this book contains useful examples and over 150 exercises, making it suitable for self-study.
Mathematics. --- Economics, Mathematical. --- Probabilities. --- Statistics. --- Probability Theory and Stochastic Processes. --- Quantitative Finance. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Economics --- Mathematical economics --- Math --- Science --- Methodology --- Distribution (Probability theory. --- Finance. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Funding --- Funds --- Currency question --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Economics, Mathematical . --- Statistics .
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Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily in signal processing, electrical engineering, and information theory. Later in the 1960s, it evolved into an automatic classification technique for generating prototypes of extensive datasets. In modern terms, it can be recognized as a seminal contribution to unsupervised learning through the k-means clustering algorithm in data science. In contrast, Functional Quantization, a more recent area of study dating back to the early 2000s, focuses on the quantization of continuous-time stochastic processes viewed as random vectors in Banach function spaces. This book distinguishes itself by delving into the quantization of random vectors with values in a Banach space—a unique feature of its content. Its main objectives are twofold: first, to offer a comprehensive and cohesive overview of the latest developments as well as several new results in optimal quantization theory, spanning both finite and infinite dimensions, building upon the advancements detailed in Graf and Luschgy's Lecture Notes volume. Secondly, it serves to demonstrate how optimal quantization can be employed as a space discretization method within probability theory and numerical probability, particularly in fields like quantitative finance. The main applications to numerical probability are the controlled approximation of regular and conditional expectations by quantization-based cubature formulas, with applications to time-space discretization of Markov processes, typically Brownian diffusions, by quantization trees. While primarily catering to mathematicians specializing in probability theory and numerical probability, this monograph also holds relevance for data scientists, electrical engineers involved in data transmission, and professionals in economics and logistics who are intrigued by optimal allocation problems.
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Angiogenesis is a multi-stage process that drives the generation of new blood and lymphatic vessels from pre-existing ones. It is highly active during embryogenesis, largely inactive during adulthood but reactivated during wound healing and under a number of pathological conditions including cancer and ocular diseases. In addition to endothelial cells, which line the walls of the vessels, several other cell types (pericytes, macrophages, progenitor cells,…) also contribute to angiogenesis. A number of signaling pathways are activated and very finely tune the delicate morphogenetic events that ultimately lead to the formation of stable bloodproof neovessels. This book reviews recent advances in our understanding of the molecular and cellular mechanisms of angiogenesis, with a focus on how to integrate these observations into the context of developmental, post-natal and pathological neovascularization. The book was published under the auspices of the French Angiogenesis Society. Most contributors are prominent members of this Society or international researchers who have actively contributed to the Annual Meetings of the Society.
Neovascularization inhibitors --- Cancer --- Neovascularization. --- Therapeutic use. --- Research. --- Angiogenesis --- Blood-vessels --- Cancer research --- Angiogenesis inhibitors --- Tumor angiogenesis inhibitors --- Antineoplastic agents --- Growth --- Medicine. --- Oncology . --- Oncology. --- Angiography. --- Cardiology. --- Ophthalmology. --- Molecular Medicine. --- Cancer Research. --- Angiology. --- Medicine --- Eye --- Heart --- Internal medicine --- Diagnosis, Radioscopic --- Radiography, Medical --- Tumors --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Diseases --- Radiography --- Health Workforce --- Molecular biology. --- Cancer research. --- Molecular biochemistry --- Molecular biophysics --- Biochemistry --- Biophysics --- Biomolecules --- Systems biology
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L’avion n’est pas un simple moyen de transport, c’est aussi un objet de réflexion. Pour preuve, cet ouvrage rassemble de façon novatrice aussi bien des analyses de spécialistes de l’aéronautique civile et militaire, que des études de philosophes, sociologues et anthropologues. Chacun donne un point de vue distancié et critique sur l’histoire et le devenir de l’avion et ses enjeux contemporains - le rêve, la puissance et le doute. La part du rêve de l’aviation est paradoxale, entre Icare ou la délivrance de la pesanteur et le désir de contrôle d’un ciel d’où tombera le feu capable d’anéantir l’ennemi. Avant même l’histoire de l’avion, puis à ses débuts, des auteurs de science-fiction l’ont imaginé comme une arme décisive, avant que Giulio Douhet n’en établisse, le premier, la théorie en 1916. L’aviation civile a, en réalité, toujours été propulsée plus loin et plus haut dans les airs par l’aviation militaire et sa puissance: c’est de la guerre de 39-45 que sont nés les contrôles aériens modernes et les avions gros porteurs qui nous transportent d’un continent à l’autre. Par la conquête de la liberté et la volonté de maîtrise du temps et de l’espace, l’avion incarne aujourd’hui l’intense vibration de la modernité, le flux incessant du voyage. Mais les progrès informatiques et la complexité croissante des technologies, tant dans le domaine civil que militaire, déréalisent le contrôle des appareils et des trajectoires. De nouvelles logiques se mettent en place, au profit d’une virtualité qui s’efforce, avec peine, de laisser un espace à l’humain. Confrontée désormais à la critique écologique, enfermée dans sa dépendance quasi absolue au pétrole, associée au danger mortel du crash puisque la sécurité totale est impossible à atteindre, guettée par la toute-puissance électronique, soumise aux aléas géopolitiques et économiques, l’aviation doit faire face aux interrogations sur sa capacité de croissance continue dans un monde en crise soucieux de découvrir de nouveaux…
Social Sciences, Interdisciplinary --- aéronautique --- mesure de sécurité --- transport aérien --- avion --- rêve --- critique écologique --- crash --- nouveau modèle
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