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Nowcasting GDP - A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies
This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning (ML) algorithms to nowcast GDP growth across a heterogenous group of European economies during normal and crisis times. Most of our methods significantly outperform the AR(1) benchmark model. Our DFMs tend to perform better during normal times while many of the ML methods we used performed strongly at identifying turning points. Our approach is easily applicable to other countries, subject to data availability.
Grey Phrases
Life is probably like a drawing board stained with paint, requiring a strong color to acquire the sense of presence, and it can’t be in want of the grayness that can move forward or backward, to endure the hardships of the long journey, without stubbornness, scramble, discouragement, or even pretensions. Grey phrases represent the expectation of the unknown, the relief of regrets, and the persistence to the light in the bottom of the heart. The words one wants to utter will not be forgotten after being recorded; the poems one intends to write, draw the outline of the years; the dreams one desires to dream can fill melancholy feelings. The author’s paintbrush swept through the loneliness of the unspiritual world. She painted pale years with grayness. This book provides a resting space for heart and soul fond of quietness, telling stories with paintings and poems.
The BRICS in the New International Legal Order on Investment
The BRICS in the New International Legal Order on Investment: Reformers or Disruptors is written by international experts with BRICS backgrounds. The book investigates why and how the BRICS countries modernize their approach to the investment treaty regime. The chapters are organized by BRICS countries and discuss whether they can develop a common approach to investment treaties as well as what these countries will bring to the investment treaty regime in the future. The volume provides important perspectives on how the BRICS, an emerging power hub in international society, engage in the international legal order.
Machine Learning and Knowledge Discovery in Databases
The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge grap...
High Performance Fuel-Breathing Microfluidic Fuel Cells
This dissertation, "High Performance Fuel-breathing Microfluidic Fuel Cells" by Yifei, Wang, 王夷飞, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of the thesis entitled "HIGH PERFORMANCE FUEL-BREATHING MICROFLUIDIC FUEL CELLS" Submitted by Yifei, Wang for the degree of Doctor of Philosophy at The University of Hong Kong in S...
Artificial intelligence for Drug Discovery and Development
Topic editor Alex Zhavoronkov is the founder of Insilico Medicine, a company specializing in AI research. He is also a professor at the Buck Institute for Research on Aging. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
