图书简介
This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017. It discusses topics in time series analysis and forecasting, including advanced mathematical methodology, computational intelligence methods for time series, dimensionality reduction and similarity measures, econometric models, energy time series forecasting, forecasting in real problems, online learning in time series as well as high-dimensional and complex/big data time series.The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing computer science, mathematics, statistics and econometrics.
Preface.- Advanced Mathematical Methodologies in Time Series.- Forecasting via Fokker-Planck using conditional probabilities.- Cryptanalysis of a Random Number Generator Based on a Chaotic Ring Oscillator.- Further Results on Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors.- A New Estimation Technique for AR(1) Model with Long-tailed Symmetric Innovations.- Prediction of High-Dimensional Time Series with Exogenous Variables Using Generalized Koopman Operator Framework in Reproducing Kernel Hilbert Space.- Eigenvalues distribution limit of covariance matrices with AR processes entries.- Computational Intelligence Methods for Time Series.- Deep Learning for Detection of BGP Anomalies.- Using Scaling Methods to Improve Support Vector Regression?s Performance for Travel Time and Traffic Volume Predictions.- Dimensionality Reduction and Similarity Measures in Time Series.- Linear Trend Filtering via Adaptive Lasso.- Detecting Discords in Quasi Periodic Time-series Data - A Case Study with Electrocardiogram Data.- Similarity Analysis of Time Interval Data Sets - A Graph Theory Approach.- Logical Comparison Measures in Classification of Data.- Econometric Models.- Asymptotic and Bootstrap Tests For a Change in Autoregression Omitting Variability Estimation.- Distance Between VARMA Models and its Application to Spatial Differences Analysis in the Relationship GDP - Unemployment Growth Rate in Europe.- Copulas for Modeling the Relationship between the Inflation and the Exchange Rates.- Energy Time Series Forecasting.- Fuel Consumption Estimation for Climbing Phase.- Time Series Optimization for Energy Prediction in Wi-Fi Infrastructures.- An econometric analysis of the merit order effect in electricity spot price: the Germany case.- Forecasting in Real Problems.- The analysis of variability of short data sets based on Mahalanobis distance calculation and surrogate time series testing.- On generalized additive models with dependent time series covariates.- A Bayesian Approach to Astronomical Time Delay Estimations.- Further Results on a Modified EM Algorithm for Parameter Estimation in Linear Models with Time-Dependent Autoregressive and t-Distributed Errors.
Trade Policy 买家须知
- 关于产品:
- ● 正版保障:本网站隶属于中国国际图书贸易集团公司,确保所有图书都是100%正版。
- ● 环保纸张:进口图书大多使用的都是环保轻型张,颜色偏黄,重量比较轻。
- ● 毛边版:即书翻页的地方,故意做成了参差不齐的样子,一般为精装版,更具收藏价值。
关于退换货:
- 由于预订产品的特殊性,采购订单正式发订后,买方不得无故取消全部或部分产品的订购。
- 由于进口图书的特殊性,发生以下情况的,请直接拒收货物,由快递返回:
- ● 外包装破损/发错货/少发货/图书外观破损/图书配件不全(例如:光盘等)
并请在工作日通过电话400-008-1110联系我们。
- 签收后,如发生以下情况,请在签收后的5个工作日内联系客服办理退换货:
- ● 缺页/错页/错印/脱线
关于发货时间:
- 一般情况下:
- ●【现货】 下单后48小时内由北京(库房)发出快递。
- ●【预订】【预售】下单后国外发货,到货时间预计5-8周左右,店铺默认中通快递,如需顺丰快递邮费到付。
- ● 需要开具发票的客户,发货时间可能在上述基础上再延后1-2个工作日(紧急发票需求,请联系010-68433105/3213);
- ● 如遇其他特殊原因,对发货时间有影响的,我们会第一时间在网站公告,敬请留意。
关于到货时间:
- 由于进口图书入境入库后,都是委托第三方快递发货,所以我们只能保证在规定时间内发出,但无法为您保证确切的到货时间。
- ● 主要城市一般2-4天
- ● 偏远地区一般4-7天
关于接听咨询电话的时间:
- 010-68433105/3213正常接听咨询电话的时间为:周一至周五上午8:30~下午5:00,周六、日及法定节假日休息,将无法接听来电,敬请谅解。
- 其它时间您也可以通过邮件联系我们:customer@readgo.cn,工作日会优先处理。
关于快递:
- ● 已付款订单:主要由中通、宅急送负责派送,订单进度查询请拨打010-68433105/3213。
本书暂无推荐
本书暂无推荐