首页 > 最新文献

Journal of the Royal Statistical Society Series C-Applied Statistics最新文献

英文 中文
Proposer of the vote of thanks to Narayanan, Kosmidis and Dellaportas and contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football” 向Narayanan, Kosmidis和Dellaportas表示感谢，并对“灵活标记时空点过程在足协足球事件序列中的应用”的讨论作出贡献
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-28 DOI: 10.1093/jrsssc/qlad071
D. Karlis
{"title":"Proposer of the vote of thanks to Narayanan, Kosmidis and Dellaportas and contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football”","authors":"D. Karlis","doi":"10.1093/jrsssc/qlad071","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad071","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"413 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74125391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ron Yurko and Rebecca Nugent’s contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football” by Narayanan, Kosmidis and Dellaportas Ron Yurko和Rebecca Nugent对Narayanan、Kosmidis和delaportas关于“灵活的标记时空点过程与足协足球事件序列的应用”的讨论的贡献
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-27 DOI: 10.1093/jrsssc/qlad069
Ronald Yurko, Rebecca Nugent
{"title":"Ron Yurko and Rebecca Nugent’s contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football” by Narayanan, Kosmidis and Dellaportas","authors":"Ronald Yurko, Rebecca Nugent","doi":"10.1093/jrsssc/qlad069","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad069","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"32 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76269443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seconder of the vote of thanks to Narayanan, Kosmidis and Dellaportas and contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football” 其次，感谢Narayanan, Kosmidis和delaportas对“灵活的标记时空点过程及其在足协足球事件序列中的应用”的讨论所做的贡献
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-27 DOI: 10.1093/jrsssc/qlad072
Leonardo Egidi
{"title":"Seconder of the vote of thanks to Narayanan, Kosmidis and Dellaportas and contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football”","authors":"Leonardo Egidi","doi":"10.1093/jrsssc/qlad072","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad072","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"37 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74107240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Paul Smith’s contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football” by Narayanan, Kosmidis and Dellaportas Paul Smith对Narayanan, Kosmidis和delaportas关于“灵活的标记时空点过程在足协足球事件序列中的应用”的讨论的贡献
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-26 DOI: 10.1093/jrsssc/qlad070
Paul A. Smith
{"title":"Paul Smith’s contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football” by Narayanan, Kosmidis and Dellaportas","authors":"Paul A. Smith","doi":"10.1093/jrsssc/qlad070","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad070","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"1 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81334409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Jorge Mateu’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ by Narayanan, Kosmidis and Dellaportas Jorge Mateu对Narayanan, Kosmidis和delaportas对“灵活的标记时空点过程与足协足球事件序列的应用”的讨论的贡献
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-26 DOI: 10.1093/jrsssc/qlad073
J. Mateu
{"title":"Jorge Mateu’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ by Narayanan, Kosmidis and Dellaportas","authors":"J. Mateu","doi":"10.1093/jrsssc/qlad073","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad073","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"40 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85694113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mattia Stival and Lorenzo Schiavon’s contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football” by Narayanan, Kosmidis and Dellaportas Mattia Stival和Lorenzo Schiavon对Narayanan、Kosmidis和delaportas关于“灵活的标记时空点过程及其在足协足球事件序列中的应用”的讨论的贡献
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-26 DOI: 10.1093/jrsssc/qlad068
M. Stival, Lorenzo Schiavon
{"title":"Mattia Stival and Lorenzo Schiavon’s contribution to the Discussion of “Flexible marked spatio-temporal point processes with applications to event sequences from association football” by Narayanan, Kosmidis and Dellaportas","authors":"M. Stival, Lorenzo Schiavon","doi":"10.1093/jrsssc/qlad068","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad068","url":null,"abstract":"","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"19 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75628376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Estimating the information content of genetic sequence data 基因序列数据信息量的估计
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-25 DOI: 10.1093/jrsssc/qlad062
Steinar Thorvaldsen, O. Hössjer
A prominent problem in analysing genetic information has been a lack of mathematical frameworks for doing so. This article offers some new statistical methods to model and analyse information content in proteins, protein families, and their sequences. We discuss how to understand the qualitative aspects of genetic information, how to estimate the quantitative aspects of it, and implement a statistical model where the qualitative genetic function is represented jointly with its probabilistic metric of self-information. The functional information of protein families in the Cath and Pfam databases are estimated using a method inspired by rejection sampling. Scientific work may place these components of information as one of the fundamental aspects of molecular biology.
分析遗传信息的一个突出问题是缺乏这样做的数学框架。本文提供了一些新的统计方法来模拟和分析蛋白质、蛋白质家族及其序列的信息含量。我们讨论了如何理解遗传信息的定性方面，如何估计遗传信息的定量方面，并实现了一个统计模型，其中定性遗传函数与其自信息的概率度量联合表示。采用拒绝抽样的方法对Cath和Pfam数据库中蛋白质家族的功能信息进行了估计。科学工作可能把这些信息的组成部分作为分子生物学的一个基本方面。
{"title":"Estimating the information content of genetic sequence data","authors":"Steinar Thorvaldsen, O. Hössjer","doi":"10.1093/jrsssc/qlad062","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad062","url":null,"abstract":"\u0000 A prominent problem in analysing genetic information has been a lack of mathematical frameworks for doing so. This article offers some new statistical methods to model and analyse information content in proteins, protein families, and their sequences. We discuss how to understand the qualitative aspects of genetic information, how to estimate the quantitative aspects of it, and implement a statistical model where the qualitative genetic function is represented jointly with its probabilistic metric of self-information. The functional information of protein families in the Cath and Pfam databases are estimated using a method inspired by rejection sampling. Scientific work may place these components of information as one of the fundamental aspects of molecular biology.","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"69 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81375405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Tweedie Markov process and its application in fisheries stock assessment Tweedie Markov过程及其在渔业资源评价中的应用
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-20 DOI: 10.1093/jrsssc/qlad064
Nan Zheng, Y. Lim, N. Cadigan
The Tweedie distribution is a useful tool to model zero-inflated non-negative continuous data. However, the Tweedie dispersion relationship (DR) is not general enough to cover some important forms such as quadratic dispersion, and an easy and fast-to-implement Tweedie AR(1) model (first-order autoregressive model) needs to be developed for spatio-temporal modelling. In this research we extend the Tweedie distribution to accommodate flexible DRs, and propose a Tweedie Markov process (TMP) with the AR(1) autocorrelation structure. This TMP is simple to implement and requires only the Tweedie probability density function. Simulation studies and real data analysis are conducted to validate our new approach.
Tweedie分布是对零膨胀非负连续数据建模的一个有用工具。然而，Tweedie色散关系(DR)不够通用，无法涵盖二次色散等一些重要形式，需要开发一种易于实现的Tweedie AR(1)模型(一阶自回归模型)进行时空建模。在本研究中，我们扩展了Tweedie分布以适应灵活的dr，并提出了一个具有AR(1)自相关结构的Tweedie马尔可夫过程(TMP)。这个TMP很容易实现，只需要Tweedie概率密度函数。仿真研究和实际数据分析验证了我们的新方法。
{"title":"A Tweedie Markov process and its application in fisheries stock assessment","authors":"Nan Zheng, Y. Lim, N. Cadigan","doi":"10.1093/jrsssc/qlad064","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad064","url":null,"abstract":"\u0000 The Tweedie distribution is a useful tool to model zero-inflated non-negative continuous data. However, the Tweedie dispersion relationship (DR) is not general enough to cover some important forms such as quadratic dispersion, and an easy and fast-to-implement Tweedie AR(1) model (first-order autoregressive model) needs to be developed for spatio-temporal modelling. In this research we extend the Tweedie distribution to accommodate flexible DRs, and propose a Tweedie Markov process (TMP) with the AR(1) autocorrelation structure. This TMP is simple to implement and requires only the Tweedie probability density function. Simulation studies and real data analysis are conducted to validate our new approach.","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"377 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80608354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Estimating default probabilities for no- and low-default portfolios: parameter specification via floor constraints 估计无违约和低违约投资组合的违约概率:通过下限约束的参数规范
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-14 DOI: 10.1093/jrsssc/qlad061
Oliver Blümke
For low- and no-default portfolios, financial institutions are confronted with the problem to estimate default probabilities for credit ratings for which no default was observed. The Bayesian approach offers a solution but brings the problem of the parameter assignment of the prior distribution. Sequential Bayesian updating allows to settle the question of the location parameter or mean of the prior distribution. This article proposes to use floor constraints to determine the scale or standard deviation parameter of the prior distribution. The floor constraint can also be used to determine the free parameter γ in the Pluto–Tasche approach.
对于低违约和无违约的投资组合，金融机构面临的问题是估计没有违约的信用评级的违约概率。贝叶斯方法提供了一种解决方案，但也带来了先验分布参数分配的问题。顺序贝叶斯更新允许解决先验分布的位置参数或平均值的问题。本文提出利用底面约束来确定先验分布的尺度或标准差参数。floor约束也可用于确定Pluto-Tasche方法中的自由参数γ。
{"title":"Estimating default probabilities for no- and low-default portfolios: parameter specification via floor constraints","authors":"Oliver Blümke","doi":"10.1093/jrsssc/qlad061","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad061","url":null,"abstract":"\u0000 For low- and no-default portfolios, financial institutions are confronted with the problem to estimate default probabilities for credit ratings for which no default was observed. The Bayesian approach offers a solution but brings the problem of the parameter assignment of the prior distribution. Sequential Bayesian updating allows to settle the question of the location parameter or mean of the prior distribution. This article proposes to use floor constraints to determine the scale or standard deviation parameter of the prior distribution. The floor constraint can also be used to determine the free parameter γ in the Pluto–Tasche approach.","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"75 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82128012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automated calibration for stability selection in penalised regression and graphical models. 在惩罚回归和图形模型中自动校准稳定性选择。
IF 1.6 4区 数学 Q3 STATISTICS & PROBABILITY
Journal of the Royal Statistical Society Series C-Applied Statistics
Pub Date : 2023-07-13 eCollection Date: 2023-11-01 DOI: 10.1093/jrsssc/qlad058
Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nøst, Julien Chiquet, Marc Chadeau-Hyam

Stability selection represents an attractive approach to identify sparse sets of features jointly associated with an outcome in high-dimensional contexts. We introduce an automated calibration procedure via maximisation of an in-house stability score and accommodating a priori-known block structure (e.g. multi-OMIC) data. It applies to [Least Absolute Shrinkage Selection Operator (LASSO)] penalised regression and graphical models. Simulations show our approach outperforms non-stability-based and stability selection approaches using the original calibration. Application to multi-block graphical LASSO on real (epigenetic and transcriptomic) data from the Norwegian Women and Cancer study reveals a central/credible and novel cross-OMIC role of LRRN3 in the biological response to smoking. Proposed approaches were implemented in the R package sharp.

稳定性选择是一种极具吸引力的方法，可用于识别高维背景下与结果共同相关的稀疏特征集。我们介绍了一种自动校准程序，该程序通过最大化内部稳定性得分和容纳事先已知的块结构（如多OMIC）数据来实现。它适用于[最小绝对收缩选择操作符（LASSO）]惩罚回归和图形模型。模拟结果表明，我们的方法优于使用原始校准的非稳定性方法和稳定性选择方法。在挪威妇女与癌症研究的真实（表观遗传学和转录组学）数据上应用多块图形 LASSO，揭示了 LRRN3 在吸烟生物反应中的核心/可信和新颖的交叉OMIC 作用。建议的方法在 R 软件包 sharp 中实现。
{"title":"Automated calibration for stability selection in penalised regression and graphical models.","authors":"Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nøst, Julien Chiquet, Marc Chadeau-Hyam","doi":"10.1093/jrsssc/qlad058","DOIUrl":"10.1093/jrsssc/qlad058","url":null,"abstract":"<p><p>Stability selection represents an attractive approach to identify sparse sets of features jointly associated with an outcome in high-dimensional contexts. We introduce an automated calibration procedure via maximisation of an in-house stability score and accommodating a priori-known block structure (e.g. multi-OMIC) data. It applies to [Least Absolute Shrinkage Selection Operator (LASSO)] penalised regression and graphical models. Simulations show our approach outperforms non-stability-based and stability selection approaches using the original calibration. Application to multi-block graphical LASSO on real (epigenetic and transcriptomic) data from the Norwegian Women and Cancer study reveals a central/credible and novel cross-OMIC role of LRRN3 in the biological response to smoking. Proposed approaches were implemented in the R package sharp.</p>","PeriodicalId":49981,"journal":{"name":"Journal of the Royal Statistical Society Series C-Applied Statistics","volume":"72 5","pages":"1375-1393"},"PeriodicalIF":1.6,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10746547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139032725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
类型
全部 化学•材料 生命科学 医学 物理 工程技术 环境•农林 材料科学 地球科学 法学 管理学 化学 环境科学与生态学 计算机科学 教育学 经济学 农林科学 人文科学 生物学 数学 物理与天体物理 心理学 综合性期刊 其他 工业工程 理学 历史学 农学 文学 信息工程
数据库
全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley
期刊
Journal of the Royal Statistical Society Series C-Applied Statistics
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
﹀
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们：info@booksci.cn
Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1