86,482 research outputs found
How Homogenous are Currency Crises? A Panel Study Using Multiple-Response Models
This paper presents evidence that currency episodes display heterogeneity in terms of their evolution, their impact on the inflicted economy and their links with financial, political and macroeconomic fundamentals. Limited-dependent variable models for ordered and unordered outcomes along with their heteroskedastic and random effects extensions are applied to a large panel of data comprising 40 years of monthly observations on 23 developed countries. Heterogeneity, complemented by indications of self-fulfilling expectations and noise, suggest that time and region specific predictive approaches and policy responses are more useful than trying to base analysis and policy decisions on more general patterns. Results are established with formal specification tests.Money demand; Currency crises; speculative pressure; exchange rate; devaluation; Limited-dependent variable models
Applied statistics: A review
The main phases of applied statistical work are discussed in general terms.
The account starts with the clarification of objectives and proceeds through
study design, measurement and analysis to interpretation. An attempt is made to
extract some general notions.Comment: Published at http://dx.doi.org/10.1214/07-AOAS113 in the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Query-based Deep Improvisation
In this paper we explore techniques for generating new music using a
Variational Autoencoder (VAE) neural network that was trained on a corpus of
specific style. Instead of randomly sampling the latent states of the network
to produce free improvisation, we generate new music by querying the network
with musical input in a style different from the training corpus. This allows
us to produce new musical output with longer-term structure that blends aspects
of the query to the style of the network. In order to control the level of this
blending we add a noisy channel between the VAE encoder and decoder using
bit-allocation algorithm from communication rate-distortion theory. Our
experiments provide new insight into relations between the representational and
structural information of latent states and the query signal, suggesting their
possible use for composition purposes
The Emotional and Chromatic Layers of Urban Smells
People are able to detect up to 1 trillion odors. Yet, city planning is
concerned only with a few bad odors, mainly because odors are currently
captured only through complaints made by urban dwellers. To capture both good
and bad odors, we resort to a methodology that has been recently proposed and
relies on tagging information of geo-referenced pictures. In doing so for the
cities of London and Barcelona, this work makes three new contributions. We
study 1) how the urban smellscape changes in time and space; 2) which emotions
people share at places with specific smells; and 3) what is the color of a
smell, if it exists. Without social media data, insights about those three
aspects have been difficult to produce in the past, further delaying the
creation of urban restorative experiences.Comment: 11 pages, 18 figures, final version published in the Proceedings of
the Tenth International Conference on Web and Social Media (ICWSM 2016
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