Skip to main content
Search Button
Librairie Kobo Canada Cartes cadeau Aide

Kobo Rakuten

Ma liste d'envies

Panier

Vous profitez des avantages réservés aux VIP !

Article(s) non disponible(s) à la vente
Veuillez vérifier votre panier. Vous pouvez supprimer le ou les articles qui ne sont pas disponibles maintenant ou nous les supprimerons automatiquement au moment du règlement de la commande.
articlesarticle
articlesarticle

Recommandé pour vous

Loading...


1-12 sur 12 résultats pour « fernanda de bastiani »
Skip side bar filters

  • Distributions for Modeling Location, Scale, and Shape

    Using GAMLSS in R

    par Robert A. Rigby, Mikis D. Stasinopoulos, Gillian Z. Heller, Fernanda De Bastiani ...
    Collections series Chapman & Hall/CRC The R Series
    This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists in a wide range of application areas, and also to those interested in the theoretical properties of ... En savoir plus

    $126.41 CAD

  • Flexible Regression and Smoothing

    Using GAMLSS in R

    par Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De Bastiani ...
    Collections series Chapman & Hall/CRC The R Series
    This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent.In particular, the GAMLSS statistical framework enables flexible regression and smoothing models to be fitted to the data ... En savoir plus

    $101.68 CAD

Les lecteurs de ces romans ont aussi aimé

  • Machine Learning for Algorithmic Trading

    Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

    par Stefan Jansen ...
    Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading ... En savoir plus

    $73.59 CAD ou Gratuit avec Kobo Plus

  • Machine Learning for Asset Managers

    par Marcos M. López de Prado ...
    Collections series Elements in Quantitative Finance
    Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers ... En savoir plus

    $23.99 CAD

  • Derivatives Analytics with Python

    Data Analysis, Models, Simulation, Calibration and Hedging

    par Yves Hilpisch ...
    Collections series The Wiley Finance Series
    Supercharge options analytics and hedging using the power of PythonDerivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language. This unique guide offers detailed explanations of all theory, methods, and processes, ... En savoir plus

    $112.99 CAD

  • Quantitative Portfolio Management

    The Art and Science of Statistical Arbitrage

    par Michael Isichenko ...
    Discover foundational and advanced techniques in quantitative equity trading from a veteran insiderIn Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn ... En savoir plus

    $44.99 CAD

  • Handbook of Financial Econometrics

    Applications

    Modifié par Yacine Ait-Sahalia, Lars Peter Hansen ...
    Collections Livre 2 - Handbooks in Finance
    Applied financial econometrics subjects are featured in this second volume, with papers that survey important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing, bond yields, and the management, supervision, and measurement of extreme and infrequent risks. Yet their ... En savoir plus

    $91.99 CAD

  • Yield Curve Modeling and Forecasting

    The Dynamic Nelson-Siegel Approach

    par Francis X. Diebold, Glenn D. Rudebusch ...
    Collections series The Econometric and Tinbergen Institutes Lectures
    Understanding the dynamic evolution of the yield curve is critical to many financial tasks, including pricing financial assets and their derivatives, managing financial risk, allocating portfolios, structuring fiscal debt, conducting monetary policy, and valuing capital goods. Unfortunately, most yield curve models tend to be theoretically rigorous but empirically disappointing, or empirically ... En savoir plus

    $67.09 CAD

  • Forecasting and Assessing Risk of Individual Electricity Peaks

    par Maria Jacob, Cláudia Neves, Danica Vukadinović Greetham ...
    Collections series Mathematics and Statistics (R0)
    The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples.In order to achieve carbon targets, good forecasts of peaks are ... En savoir plus

    Gratuit

  • Negative Binomial Regression

    par Joseph M. Hilbe ...
    This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, ... En savoir plus

    $108.99 CAD

  • Probability and Statistics for Data Science

    Math + R + Data

    par Norman Matloff ...
    Collections series Chapman & Hall/CRC Data Science Series
    Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously:* Real datasets are used extensively.* All data analysis is supported by R coding.* Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, ... En savoir plus

    $123.99 CAD

  • Computation and Modelling in Insurance and Finance

    par Erik Bølviken ...
    Collections series International Series on Actuarial Science
    Focusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals ... En savoir plus

    $159.99 CAD