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20032026
most citedKnowledge Graphs

1.8k citations

Showing 2017Show all

10 papers · 1 filter

stat.ME2017★ 5 cited

Exact integrated completed likelihood maximisation in a stochastic block transition model for dynamic networks

Riccardo Rastelli

The latent stochastic block model is a flexible and widely used statistical model for the analysis of network data. Extensions of this model to a dynamic context often fail to capt…

q-fin.PM2017★ 48 cited

Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty

Nikolaus Hautsch, Stefan Voigt

We theoretically and empirically study portfolio optimization under transaction costs and establish a link between turnover penalization and covariance shrinkage with the penalizat…

cs.CY2017★ 172 cited

The Internet-of-Things Meets Business Process Management: A Manifesto

Christian Janiesch, Agnes Koschmider, Massimo Mecella +20

The Internet of Things (IoT) refers to a network of connected devices collecting and exchanging data over the Internet. These things can be artificial or natural, and interact as a…

stat.ME2017★ 299 cited

Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models

Gregor Kastner, Sylvia Frühwirth-Schnatter

Bayesian inference for stochastic volatility models using MCMC methods highly depends on actual parameter values in terms of sampling efficiency. While draws from the posterior uti…

cs.IR2017

Talking Open Data

Sebastian Neumaier, Vadim Savenkov, Svitlana Vakulenko

Enticing users into exploring Open Data remains an important challenge for the whole Open Data paradigm. Standard stock interfaces often used by Open Data portals are anything but…

q-fin.PM2017★ 17 cited

Pairs Trading under Drift Uncertainty and Risk Penalization

Sühan Altay, Katia Colaneri, Zehra Eksi

In this work, we study a dynamic portfolio optimization problem related to pairs trading, which is an investment strategy that matches a long position in one security with a short…

stat.CO2017★ 86 cited

Sparse Bayesian vector autoregressions in huge dimensions

Gregor Kastner, Florian Huber

We develop a Bayesian vector autoregressive (VAR) model with multivariate stochastic volatility that is capable of handling vast dimensional information sets. Three features are in…

stat.ME2017

Effect fusion using model-based clustering

Gertraud Malsiner-Walli, Daniela Pauger, Helga Wagner

In social and economic studies many of the collected variables are measured on a nominal scale, often with a large number of categories. The definition of categories is usually not…

q-fin.TR2017

The amazing power of dimensional analysis: Quantifying market impact

Mathias Pohl, Alexander Ristig, Walter Schachermayer +1

This note complements the inspiring work on dimensional analysis and market microstructure by Kyle and Obizhaeva [18]. Following closely these authors, our main result shows by a s…

math.FA2017★ 6 cited

Ordinary differential equations in algebras of generalized functions

Evelina Erlacher, Michael Grosser

A local existence and uniqueness theorem for ODEs in the special algebra of generalized functions is established, as well as versions including parameters and dependence on initial…