Process Mining Manifesto

  title={Process Mining Manifesto},
  author={Wil M. P. van der Aalst and Arya Adriansyah and Ana Karla A. de Medeiros and Franco Arcieri and Thomas Baier and Tobias Blickle and R. P. Jagadeesh Chandra Bose and Peter van den Brand and Ronald Brandtjen and Joos C. A. M. Buijs and Andrea Burattin and Josep Carmona and Mal{\'u} Castellanos and Jan Claes and Jonathan Cook and Nicola Costantini and Francisco Curbera and Ernesto Damiani and Massimiliano de Leoni and Pavlos Delias and Boudewijn F. van Dongen and Marlon Dumas and Schahram Dustdar and Dirk Fahland and Diogo R. Ferreira and Walid Gaaloul and Frank van Geffen and Sukriti Goel and Christian W. G{\"u}nther and Antonella Guzzo and Paul Harmon and Arthur H. M. ter Hofstede and John Hoogland and Jon Espen Ingvaldsen and Koki Kato and Rudolf Kuhn and Akhil Kumar and Marcello La Rosa and Fabrizio Maria Maggi and Donato Malerba and R. S. Mans and Alberto Manuel and Martin McCreesh and Paola Mello and Jan Mendling and Marco Montali and Hamid R. Motahari Nezhad and Michael zur Muehlen and Jorge Munoz-Gama and Luigi Pontieri and Joel Ribeiro and Anne Rozinat and Hugo Seguel P{\'e}rez and Ricardo Seguel and Marcos Sep{\'u}lveda and Jim Sinur and Pnina Soffer and Minseok Song and Alessandro Sperduti and Giovanni Stilo and Casper Stoel and Keith D. Swenson and Maurizio Mastropasqua Talamo and Wei Tan and Chris Turner and Jan Vanthienen and George Varvaressos and Eric Verbeek and Marc Verdonk and Roberto Vigo and Jianmin Wang and Barbara Weber and Matthias Weidlich and A. J. M. M. Weijters and Lijie Wen and Michael Westergaard and Moe Thandar Wynn},
  booktitle={Business Process Management Workshops},
The Poisson gravity model along with pseudo ML methods has become a popular way to model international trade flows. This approach has several econometric advantages that we outline in the paper. We argue that estimating the parameters by ML would only be justified statistically if the trade flows were independent. Such an assumption, however, is generally not valid, and a failure to account for spatial dependence may lead to biased parameter estimates and misleading inferences. To overcome this… CONTINUE READING


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Publications referenced by this paper.

Interpretation and computation of estimates from regression models using spatial filtering

  • RK Pace, JP LeSage, S Zhu
  • Spatial Economic Analysis
  • 2013
Highly Influential
4 Excerpts

Scale-dependence of the negative binomial pseudo-maximum likelihood estimator

  • C Bosquet, H Boulhol
  • Documents de Travail du Centre d’Economie de la…
  • 2010
Highly Influential
4 Excerpts

World trade flows: 1962-2000

  • RC Feenstra, RE Lipsey, H Deng, AC Ma, H Mo
  • Technical Report, National Bureau of Economic…
  • 2005
Highly Influential
6 Excerpts

A theoretical foundation for the gravity equation

  • JE Anderson
  • American Economic Review
  • 1979
Highly Influential
5 Excerpts

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