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“Slice-Of-Life” Customization of Bankruptcy Models: Belarusian Experience and Future Development
PRACE NAUKOWE Uniwersytetu Ekonomicznego we Wrocławiu RESEARCH PAPERS of Wrocław University of Economics Nr 381 Financial Investments and Insurance – Global Trends and the Polish Market edited by Krzysztof Jajuga Wanda Ronka-Chmielowiec Publishing House of Wrocław University of Economics Wrocław 2015 Copy-editing: Agnieszka Flasińska Layout: Barbara Łopusiewicz Proof-reading: Barbara Cibis Typesetting: Małgorzata Czupryńska Cover design: Beata Dębska Information on submitting and reviewing papers is available on the Publishing House’s website www.pracenaukowe.ue.wroc.pl www.wydawnictwo.ue.wroc.pl The publication is distributed under the Creative Commons Attribution 3.0 Attribution-NonCommercial-NoDerivs CC BY-NC-ND © Copyright by Wrocław University of Economics Wrocław 2015 ISSN 1899-3192 e-ISSN 2392-0041 ISBN 978-83-7695-463-9 The original version: printed Publication may be ordered in Publishing House tel./fax 71 36-80-602; e-mail: [email protected] www.ksiegarnia.ue.wroc.pl Printing: TOTEM Contents Introduction ..................................................................................................... 9 Roman Asyngier: The effect of reverse stock split on the Warsaw Stock Ex- change ......................................................................................................... 11 Monika Banaszewska: Foreign investors on the Polish Treasury bond market in the years 2007-2013 ................................................................................ 26 Katarzyna Byrka-Kita, Mateusz Czerwiński: Large block trades -
Copyright by Mingzhang Yin 2020 the Dissertation Committee for Mingzhang Yin Certifies That This Is the Approved Version of the Following Dissertation
Copyright by Mingzhang Yin 2020 The Dissertation Committee for Mingzhang Yin certifies that this is the approved version of the following dissertation: Variational Methods with Dependence Structure Committee: Mingyuan Zhou, Supervisor Purnamrita Sarkar Qixing Huang Peter Mueller Variational Methods with Dependence Structure by Mingzhang Yin DISSERTATION Presented to the Faculty of the Graduate School of The University of Texas at Austin in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY THE UNIVERSITY OF TEXAS AT AUSTIN May 2020 Dedicated to my loved ones. Acknowledgments I always think the pursuit of truth is a path of beauty. I am fortunate to take such a journey at the University of Texas at Austin with many insightful and supportive people, who make the experience memorable. First and foremost, I want to express my sincere gratitude to my advisor, Dr. Mingyuan Zhou. Back in 2016, I stepped into the deep learning realm and was very new to the independent research. I will never forget the patience he had when I was in difficulties, the firm confidence he gave when I was hesitating and the moments we cheered together for new discoveries. With comprehensive knowledge, he taught me a taste of choosing right problems and an attitude towards science - honest, rigorous and innovative. Also, many exciting projects cannot be completed without his generous allowance and encouragement to explore new areas on my own interest. I appreciate his fostering and protection of my curiosity. In retrospect, I am blessed to have Dr. Zhou as my advisor, to have the opportunity to learn and work with him. -
Probit — Probit Regression
Title stata.com probit — Probit regression Description Quick start Menu Syntax Options Remarks and examples Stored results Methods and formulas References Also see Description probit fits a probit model for a binary dependent variable, assuming that the probability of a positive outcome is determined by the standard normal cumulative distribution function. probit can compute robust and cluster–robust standard errors and adjust results for complex survey designs. Quick start Probit model of y on continuous variable x1 probit y x1 Add square of x1 probit y c.x1##c.x1 As above, but report bootstrap standard errors probit y c.x1##c.x1, vce(bootstrap) Bootstrap estimates of coefficients bootstrap _b: probit y c.x1##c.x1 Adjust for complex survey design using svyset data and add x2 svy: probit y c.x1##c.x1 x2 Menu Statistics > Binary outcomes > Probit regression 1 2 probit — Probit regression Syntax probit depvar indepvars if in weight , options options Description Model noconstant suppress constant term offset(varname) include varname in model with coefficient constrained to 1 asis retain perfect predictor variables constraints(constraints) apply specified linear constraints SE/Robust vce(vcetype) vcetype may be oim, robust, cluster clustvar, bootstrap, or jackknife Reporting level(#) set confidence level; default is level(95) nocnsreport do not display constraints display options control columns and column formats, row spacing, line width, display of omitted variables and base and empty cells, and factor-variable labeling Maximization maximize options control the maximization process; seldom used nocoef do not display the coefficient table; seldom used collinear keep collinear variables coeflegend display legend instead of statistics indepvars may contain factor variables; see [U] 11.4.3 Factor variables. -
Statistical Data Integration in Translational Medicine
TECHNISCHE UNIVERSITAT¨ MUNCHEN¨ Wissenschaftszentrum Weihenstephan f¨urErn¨ahrung,Landnutzung und Umwelt Statistical data integration in translational medicine Linda Carina Krause Vollständiger Abdruck der von der Fakultät Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigten Dissertation. Vorsitzende/-r: Prof. Dr. Dietmar Zehn Pr¨ufende/-rder Dissertation: 1. Prof. Dr. Dr. Fabian Theis 2. Prof. Dr. Bernhard K¨uster Die Dissertation wurde am 28.03.2019 bei der Technischen Universit¨atM¨unchen eingereicht und durch die Fakult¨atWissenschaftszentrum Weihenstephan f¨ur Ern¨ahrung,Landnutzung und Umwelt am 27.09.2019 angenommen. Acknowledgment I would like to thank Fabian J. Theis for being my doctoral supervisor and inviting me to come to Munich to work as a doctoral researcher in the rich scientific environment at his institute. I am deeply grateful to my supervisor Nikola S. Mueller for her continuous guidance, her steady support and scientific input. I thank my co-supervisor Stefanie Eyerich for discussing all my results in detail, being open to my ideas and introducing me to the exciting world of immunology. Further, I would like to thank Prof. Dr. Bernhard K¨usterfor being in my thesis committee and Prof. Dr. Dietmar Zehn for being the chair of this committee. I would like to thank all former and current members of the computational cell maps group for great discussion rounds, interesting journal clubs and also for the fun we had together during our events and retreats. A special thanks to all the long-term great room mates I had over the years: beginning with Ivan Kondoversky, Julia S¨ollner and Norbert Krautenbacher, followed by Eudes Barbosa and Karolina Worf and finally Christoph Ogris joined us in room 022. -
Wikipedia Topic: Logistic Function with Selected References
Selected Articles These are entries printed using the PDF feature of Wikipedia. The title of each article is listed in bookmarks. Excerpts Wikipedia (pronounced /wɪkɨpidi.ə/ WIK-i-PEE-dee-ə) is a multilingual, web- based, free-content encyclopedia project based on an openly editable model. The name "Wikipedia" is a portmanteau of the words wiki (a technology for creating collaborative websites, from the Hawaiian word wiki, meaning "quick") and encyclopedia. Wikipedia's articles provide links to guide the user to related pages with additional information. Wikipedia is written collaboratively by largely anonymous Internet volunteers who write without pay. Anyone with Internet access can write and make changes to Wikipedia articles (except in certain cases where editing is restricted to prevent disruption or vandalism). Users can contribute anonymously, under a pseudonym, or with their real identity, if they choose. People of all ages, cultures and backgrounds can add or edit article prose, references, images and other media here. What is contributed is more important than the expertise or qualifications of the contributor. What will remain depends upon whether it fits within Wikipedia's policies, including being verifiable against a published reliable source, so excluding editors' opinions and beliefs and unreviewed research, and is free of copyright restrictions and contentious material about living people. Contributions cannot damage Wikipedia because the software allows easy reversal of mistakes and many experienced editors are watching to help and ensure that edits are cumulative improvements. Wikipedia is a live collaboration differing from paper-based reference sources in important ways. Unlike printed encyclopedias, Wikipedia is continually created and updated, with articles on historic events appearing within minutes, rather than months or years.