Advances in Neural Data Science: Data Research Camp 2022, Venice, Italy, July 12-15
暫譯: 神經數據科學的進展：2022年數據研究營，義大利威尼斯，7月12-15日
Canale, Antonio, Luati, Alessandra, Mazzuco, Stefano
- 出版商: Springer
- 出版日期: 2025-01-29
- 售價: $7,280
- 貴賓價: 9.5 折 $6,916
- 語言: 英文
- 頁數: 124
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031706374
- ISBN-13: 9783031706370
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相關分類:
Data Science
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商品描述
This proceeding volume will contain a collection of peer-reviewed articles arising from the Data Research Camp 2022. The workshop took place on July 12-15, 2022, at the Venice International University, in the venetian island of San Servolo. The Data Research Camp has been a stimulating experience bringing together 28 early-career researchers in statistics and seven international professors with the common task of developing novel statistical methods for complex brain imaging data.
The workshop was motivated by the recent advancements in miniaturized fluorescence microscopy that have made it possible to collect complex data on neuronal responses to stimuli in awake behaving animals. Several ongoing challenges are related to this novel technology including the deconvolution of the temporal signals to extract the spike trains from the noisy calcium data, the estimation of neuronal activation intensity distribution, the spatio-temporal dependence or covariate effect estimation, among others.商品描述(中文翻譯)
本卷將包含來自2022年數據研究營的經過同行評審的文章集。該研討會於2022年7月12日至15日在威尼斯國際大學的聖塞爾沃島舉行。數據研究營是一個激勵人心的經驗，聚集了28位早期職業研究者和七位國際教授，大家共同的任務是為複雜的腦成像數據開發新穎的統計方法。
此次研討會的動機源於微型化螢光顯微鏡的最新進展，這使得在清醒的行為動物中收集神經元對刺激反應的複雜數據成為可能。與這項新技術相關的幾個持續挑戰包括：從嘈雜的鈣數據中提取脈衝列的時間信號去卷積、神經元激活強度分佈的估計、時空依賴性或協變量效應的估計等。
作者簡介
Antonio Canale is associate professor of Statistics at the Department of Statistical Sciences of the University of Padova (Italy). His research covers Bayesian parametric and nonparametric methods, factor analysis, functional data analysis, both from the methodological and applied viewpoints. He is the author of a number of papers on methodological and applied statistics, and has served on the scientific committees of national and international conferences.
Alessandra Luati is Professor in Statistics at the Department of Mathematics of Imperial College London (UK) and at the Department of Statistics at the Alma Mater Studiorum University of Bologna (Italy). She has been Adjunct Professor at the Johns Hopkins School of Advanced International Studies (EU), Visiting Erskine Fellow at the University of Canterbury, Christchurch (NZ). Her main research interests are in mathematical statistics, time series analysis and non-linear dynamic models.
Stefano Mazzuco is full professor of Demography at the Department of Statistical Sciences of the University of Padova (Italy). His research mainly focuses on mortality, health and causes of death data analysis, using methods ranging from hierarchical models, functional and compositional data analysis and other methods. He has authored several articles both in demographic and statistical journals and has been part of the scientific and organizing committees of several national and international conferences.
Raffaella Piccarreta is Associate Professor of statistics at Bocconi University, and she is a fellow of the Dondena Centre and of the Bidsa centre at the same University. Her recent research interests focus on the analysis of longitudinal categorical data, on cluster analysis, and on the comparison of models for complex data.
Nicola Sartori is professor of Statistics and head of the faculty board of the PhD program at the Department of Statistical Sciences of the University of Padova (Italy) . His research covers likelihood and pseudo-likelihood methods, inference in the presence of nuisance parameters, higher-order asymptotics, computational statistics. He is the author of several papers on methodological and computational statistics.
Piercesare Secchi is Professor of Statistics at the Department of Mathematics, Politecnico di Milano, member of MOX, the departmental laboratory in modeling and scientific computing, and head of the faculty board of the Data Analytics and Decision Sciences PhD program. His recent research interests focus on statistical methods for object oriented spatial statistics, classification of complex data, functional data analysis, data fusion and integration.
作者簡介(中文翻譯)
安東尼奧·卡納萊（Antonio Canale）是意大利帕多瓦大學（University of Padova）統計科學系的副教授。他的研究涵蓋貝葉斯參數和非參數方法、因子分析、功能數據分析，並從方法論和應用的角度進行探討。他是多篇有關方法論和應用統計的論文的作者，並曾擔任國內外會議的科學委員會成員。
亞歷山德拉·盧阿提（Alessandra Luati）是英國倫敦帝國學院（Imperial College London）數學系和意大利博洛尼亞大學（Alma Mater Studiorum University of Bologna）統計系的統計學教授。她曾擔任約翰霍普金斯大學高級國際研究學院（Johns Hopkins School of Advanced International Studies）的兼任教授，並在新西蘭基督城的坎特伯雷大學（University of Canterbury）擔任訪問艾爾斯金學者。她的主要研究興趣包括數學統計、時間序列分析和非線性動態模型。
斯特凡諾·馬祖科（Stefano Mazzuco）是意大利帕多瓦大學（University of Padova）統計科學系的全職人口學教授。他的研究主要集中在死亡率、健康和死亡原因數據分析，使用的方法包括層級模型、功能和組成數據分析等。他在多個人口學和統計學期刊上發表了多篇文章，並參與了多個國內外會議的科學和組織委員會。
拉法埃拉·皮卡雷塔（Raffaella Piccarreta）是博科尼大學（Bocconi University）的副教授，並且是該大學Dondena中心和Bidsa中心的研究員。她最近的研究興趣集中在縱向類別數據分析、聚類分析以及複雜數據模型的比較上。
尼科拉·薩托里（Nicola Sartori）是意大利帕多瓦大學（University of Padova）統計科學系的統計學教授及博士課程的系主任。他的研究涵蓋似然和偽似然方法、在存在干擾參數時的推斷、高階漸近理論和計算統計。他是多篇有關方法論和計算統計的論文的作者。
皮耶爾切薩雷·塞基（Piercesare Secchi）是米蘭理工大學（Politecnico di Milano）數學系的統計學教授，MOX部門的成員，該部門專注於建模和科學計算，並且是數據分析與決策科學博士課程的系主任。他最近的研究興趣集中在面向對象的空間統計的統計方法、複雜數據的分類、功能數據分析以及數據融合和整合上。
