法令几率与危险 SCIESSCI

期刊简介估计审稿时候：

Law, Probability & Risk is a fully refereed journal which publishes papers dealing with topics on the interface of law and probabilistic reasoning. These are interpreted broadly to include aspects relevant to the interpretation of scientific evidence, the assessment of uncertainty and the assessment of risk. The readership includes academic lawyers, mathematicians, statisticians and social scientists with interests in quantitative reasoning.

The primary objective of the journal is to cover issues in law, which have a scientific element, with an emphasis on statistical and probabilistic issues and the assessment of risk.

Examples of topics which may be covered include communications law, computers and the law, environmental law, law and medicine, regulatory law for science and technology, identification problems (such as DNA but including other materials), sampling issues (drugs, computer pornography, fraud), offender profiling, credit scoring, risk assessment, the role of statistics and probability in drafting legislation, the assessment of competing theories of evidence (possibly with a view to forming an optimal combination of them). In addition, a whole new area is emerging in the application of computers to medicine and other safety-critical areas. New legislation is required to define the responsibility of computer experts who develop software for tackling these safety-critical problems.

《法令、几率与危险》是一本颠末周全检查的期刊，颁发有关法令与几率推理交壤主题的论文。这些论文被普遍诠释为包含与迷信证据诠释、不肯定性评估和危险评估相干的方面。读者包含对定量推理感乐趣的学术状师、数学家、统计学家和社会迷信家。

该期刊的首要方针是涵盖具备迷信元素的法令题目，重点是统计和几率题目和危险评估。

可以或许涵盖的主题包含通信法、计较机与法令、环境法、法令与医学、迷信和手艺羁系法、辨认题目（比方 DNA，但包含其余资料）、抽样题目（毒品、计较机色情、讹诈）、罪犯阐发、诺言评分、危险评估、统计和几率在草拟立法中的感化、对彼此协作的证据实际的评估（可以或许旨在构成它们的最好组合）。另外，计较机在医学和其余宁静关头范畴的利用正在构成一个全新的范畴。须要拟定新的立法来明白开辟软件以处理这些宁静关头题目的计较机专家的义务。

《Law Probability & Risk》(法令几率与危险)编辑部通信体例为GREAT CLARENDON ST, OXFORD, ENGLAND, OX2 6DP。若是您须要辅佐投稿或润稿办事，您可以或许征询咱们的客服教员。咱们专一于期刊征询办事十年，熟习颁发政策，可为您供给一对一投稿指点，防止您在投稿时频仍碰鼻，节流您的可贵时候，有用晋升颁发机率，确保SCI检索（检索不了全额退款）。咱们视诺言为生命，多方面确保文章宁静失密，在任何环境下都不会泄漏您的小我信息或稿件内容。