La cuarta revolución, la digital, nace por impulso de un nuevo marco tecnológico que se pone al servicio de las relaciones sociales en su sentido más amplio, innovando los esquemas de desarrollo de los negocios. El reciente lanzamiento de la criptomoneda Libra por parte de la big-high-tech Facebook, es la expresión más precisa del nuevo paradigma empresarial. Es la empresa plataforma, que del ámbito de fomento de las relaciones sociales irrumpe en el entorno financiero -fintech-, con los usuarios de la red social como potenciales clientes de la criptomoneda. La digitalización explica estas nuevas formas de hacer negocios y, por este motivo, trasciende al campo jurídico en el ámbito de instituciones clásicas del Derecho Mercantil. La obra respeta un esquema doctrinal tradicional para ordenar el ámbito de estudio. La pretensión es hilar estas señaladas tecnologías disruptivas con referencias ya conocidas, al objeto de analizar el alcance de la evolución o la naturaleza disruptiva como nuevo paradigma. Este actual contexto tecnológico no debe poner en riesgo el acervo axiológico vinculado a la Economía Social de Mercado como representación constitucional del modelo de sociedad. Las herramientas digitales en su proyección sobre el tráfico económico deben estar al servicio de la dignidad y libertad del ser humano en un contexto de desarrollo sostenible como valor universal, siendo esta tarea una función esencial del jurista y de la Ciencia Jurídica. Esta obra se pone a servicio de estos valores, contribuyendo al acervo de los trabajos que proponen analizar los avances digitales y adaptarlos a las mencionadas exigencias de política jurídica.

La cuarta revolución, la digital, nace por impulso de un nuevo marco tecnológico que se pone al servicio de las relaciones sociales en su sentido más amplio, innovando los esquemas de desarrollo de los negocios. El reciente lanzamiento de la criptomoneda Libra por parte de la big-high-tech Facebook, es la expresión más precisa del nuevo paradigma empresarial. Es la empresa plataforma, que del ámbito de fomento de las relaciones sociales irrumpe en el entorno financiero -fintech-, con los usuarios de la red social como potenciales clientes de la criptomoneda. La digitalización explica estas nuevas formas de hacer negocios y, por este motivo, trasciende al campo jurídico en el ámbito de instituciones clásicas del Derecho Mercantil. La obra respeta un esquema doctrinal tradicional para ordenar el ámbito de estudio. La pretensión es hilar estas señaladas tecnologías disruptivas con referencias ya conocidas, al objeto de analizar el alcance de la evolución o la naturaleza disruptiva como nuevo paradigma. Este actual contexto tecnológico no debe poner en riesgo el acervo axiológico vinculado a la Economía Social de Mercado como representación constitucional del modelo de sociedad. Las herramientas digitales en su proyección sobre el tráfico económico deben estar al servicio de la dignidad y libertad del ser humano en un contexto de desarrollo sostenible como valor universal, siendo esta tarea una función esencial del jurista y de la Ciencia Jurídica. Esta obra se pone a servicio de estos valores, contribuyendo al acervo de los trabajos que proponen analizar los avances digitales y adaptarlos a las mencionadas exigencias de política jurídica.

This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models. Starting from the model-based approach to Machine Learning, the authors motivate Probabilistic Graphical Models and show how Bayesian inference naturally lends itself to this framework. The authors present detailed explanations of the main modern algorithms on variational approximations for Bayesian inference in neural networks. Each algorithm of this selected set develops a distinct aspect of the theory. The book builds from the ground-up well-known deep generative models, such as Variational Autoencoder and subsequent theoretical developments. By also exposing the main issues of the algorithms together with different methods to mitigate such issues, the book supplies the necessary knowledge on generative models for the reader to handle a wide range of data types: sequential or not, continuous or not, labelled or not. The book is self-contained, promptly covering all necessary theory so that the reader does not have to search for additional information elsewhere. Offers a concise self-contained resource, covering the basic concepts to the algorithms for Bayesian Deep Learning; Presents Statistical Inference concepts, offering a set of elucidative examples, practical aspects, and pseudo-codes; Every chapter includes hands-on examples and exercises and a website features lecture slides, additional examples, and other support material.

This book is the definitive user's guide to the spatial regression functionality in the software packages GeoDa and GeoDaSpace, as well as the spreg module in the PySAL library --all developed at the GeoDa Center for Geospatial Analysis and Computation. The book provides the techniques to test for and estimate spatial effects in linear regression models, addressing both spatial dependence (spatial autoregressive models) as well as spatial heterogeneity (spatial regimes models). The book also serves as an introduction and a practical guide to spatial econometrics in that it covers the methodological principles and formal results that underlie the various estimation methods, test procedures and model characteristics computed by the software. While the classical maximum likelihood estimation is included, the book's coverage emphasizes modern techniques based on the principle of generalized method of moments (GMM).

Spatial data analysis has seen explosive growth in recent years. Both in mainstream statistics and econometrics as well as in many applied ?elds, the attention to space, location, and interaction has become an important feature of scholarly work. The methodsdevelopedto dealwith problemsofspatialpatternrecognition,spatialau- correlation, and spatial heterogeneity have seen greatly increased adoption, in part due to the availability of user friendlydesktopsoftware. Throughhis theoretical and appliedwork,ArthurGetishasbeena majorcontributing?gureinthisdevelopment. In this volume, we take both a retrospective and a prospective view of the ?eld. We use the occasion of the retirement and move to emeritus status of Arthur Getis to highlight the contributions of his work. In addition, we aim to place it into perspective in light of the current state of the art and future directions in spatial data analysis. To this end, we elected to combine reprints of selected classic contributions by Getiswithchapterswrittenbykeyspatialscientists.Thesescholarswerespeci?cally invited to react to the earlier work by Getis with an eye toward assessing its impact, tracing out the evolution of related research, and to re?ect on the future broadening of spatial analysis. The organizationof the book follows four main themes in Getis’ contributions: • Spatial analysis • Pattern analysis • Local statistics • Applications For each of these themes, the chapters provide a historical perspective on early methodological developments and theoretical insights, assessments of these c- tributions in light of the current state of the art, as well as descriptions of new techniques and applications.

The first winter recital for Story Bird Dance Academy is around the corner and the dancers are nervous about their parts. Jada is afraid to dance in front of the big kids and Nia's costume really looks like it has scales, which she absolutely dislikes. The show must go on. Will Sky be able to help her two best-friends face their fears?

The book reports on advanced topics in interactive robotics research and practice; in particular, it addresses non-technical obstacles to the broadest uptake of these technologies. It focuses on new technologies that can physically and cognitively interact with humans, including neural interfaces, soft wearable robots, and sensor and actuator technologies; further, it discusses important regulatory challenges, including but not limited to business models, standardization, education and ethical–legal–socioeconomic issues. Gathering the outcomes of the 1st INBOTS Conference (INBOTS2018), held on October 16–20, 2018 in Pisa, Italy, the book addresses the needs of a broad audience of academics and professionals working in government and industry, as well as end users. In addition to providing readers with detailed information and a source of inspiration for new projects and collaborations, it discusses representative case studies highlighting practical challenges in the implementation of interactive robots in a number of fields, as well as solutions to improve communication between different stakeholders. By merging engineering, medical, ethical and political perspectives, the book offers a multidisciplinary, timely snapshot of interactive robotics.