Search

Search Funnelback University

Search powered by Funnelback
1 - 3 of 3 search results for V信 17188884373 where 0 match all words and 3 match some words.
  1. Results that match 1 of 2 words

  2. Historiography and Hagiography in Buddhism and Beyond 8-10 July, ...

    https://www.ames.cam.ac.uk/files/full_program_historiography_hagiography_cambridge_2024.pdf
    27 Jun 2024: Historiography and Hagiography. in Buddhism and Beyond. 8-10 July, 2024. Newnham College, University of Cambridge. This conference is generously sponsored by the Tzu Chi 慈濟Foundation as part of the Yin-Cheng Network. and the Glorisun Global Buddhist Network. 1. “Historiography and Hagiography in Buddhism and Beyond”. Newnham College, University of Cambridge. 8-10 July 2024. This conference is generously sponsored by the Tzu Chi 慈濟 Foundation. as part of the Yin-Cheng Network and the Glorisun Global Buddhist Network. Note: All sessions take place in the Lucia Windsor Room in Newnham College, Sidgwick. Avenue, Cambridge. The conference is open to the public; no registration is required. Conference Schedule. Monday, July 8. 9:30-10:00 Registration and coffee. 10:00-12:00 Session 1: Welcome and Keynote Addresses Welcome Address: Noga Ganany Rey Sheng Her. The Public History of Contemporary Buddhism: Exemplifying Tzu Chi’s Oral History and Documentation. Mark Meulenbeld Place and Presence: What Peach Spring tells us about Hagiography. 12:00-13:30 Lunch break. 2. 13:30-15:30 Session 2: The Life/Lives of the Buddha Chair: Richard Bowring Mario Poceski. Intersections of History, Legend, and Myth in the Live(s) of the Buddha.
  3. Historiography and Hagiography in Buddhism and Beyond 8-10 July, ...

    https://www.ames.cam.ac.uk/sites/www.ames.cam.ac.uk/files/full_program_historiography_hagiography_cambridge_2024.pdf
    27 Jun 2024: Historiography and Hagiography. in Buddhism and Beyond. 8-10 July, 2024. Newnham College, University of Cambridge. This conference is generously sponsored by the Tzu Chi 慈濟Foundation as part of the Yin-Cheng Network. and the Glorisun Global Buddhist Network. 1. “Historiography and Hagiography in Buddhism and Beyond”. Newnham College, University of Cambridge. 8-10 July 2024. This conference is generously sponsored by the Tzu Chi 慈濟 Foundation. as part of the Yin-Cheng Network and the Glorisun Global Buddhist Network. Note: All sessions take place in the Lucia Windsor Room in Newnham College, Sidgwick. Avenue, Cambridge. The conference is open to the public; no registration is required. Conference Schedule. Monday, July 8. 9:30-10:00 Registration and coffee. 10:00-12:00 Session 1: Welcome and Keynote Addresses Welcome Address: Noga Ganany Rey Sheng Her. The Public History of Contemporary Buddhism: Exemplifying Tzu Chi’s Oral History and Documentation. Mark Meulenbeld Place and Presence: What Peach Spring tells us about Hagiography. 12:00-13:30 Lunch break. 2. 13:30-15:30 Session 2: The Life/Lives of the Buddha Chair: Richard Bowring Mario Poceski. Intersections of History, Legend, and Myth in the Live(s) of the Buddha.
  4. Small Data, Big Time—A retrospect of the first weeks of COVID-19

    www.statslab.cam.ac.uk/~qz280/publication/covid-19-retrospect/paper.pdf
    3 Jun 2024: Small Data, Big Time—A retrospect of the first weeks of COVID-19. Qingyuan Zhao. [To be read before The Royal Statistical Society at the Society’s 2021 annual conference held inManchester on Wednesday, September 8th, 2021, the President, Professor Sylvia Richardson, in theChair]. Abstract. This article reviews some early investigations and research studies in the first weeks of the coron-avirus disease 2019 (COVID-19) pandemic from a statistician’s perspective. These investigations werebased on very small datasets but were momentous in the initial global reactions to the pandemic. Thearticle discusses the initial evidence of high infectiousness of COVID-19 and why that conclusion wasnot reached faster than in reality. Further reanalyses of some published COVID-19 studies show thatthe epidemic growth was dramatically underestimated by compartmental models, and the lack of fitcould have been clearly identified by simple data visualization. Finally, some lessons for statisticiansare discussed.Keywords: Infectious disease modeling; Selection bias; COVID-19; Model diagnostics. 1 Introduction. Starting from a regional disease outbreak in Wuhan, China, the coronavirus disease 2019 (COVID-19)rapidly grew into a once-in-a-lifetime

Refine your results

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.