A causal hidden Markov model for assessing effects of multiple direct mail campaigns

IF 1.2 4区 数学 Q2 STATISTICS & PROBABILITY
Test Pub Date : 2023-09-07 DOI:10.1007/s11749-023-00877-8
F. Pennoni, Leonard J. Paas, F. Bartolucci
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引用次数: 0
一个因果隐马尔可夫模型,用于评估多个直接邮件活动的效果
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来源期刊
Test
Test 数学-统计学与概率论
CiteScore
2.20
自引率
7.70%
发文量
41
审稿时长
>12 weeks
期刊介绍: TEST is an international journal of Statistics and Probability, sponsored by the Spanish Society of Statistics and Operations Research. English is the official language of the journal. The emphasis of TEST is placed on papers containing original theoretical contributions of direct or potential value in applications. In this respect, the methodological contents are considered to be crucial for the papers published in TEST, but the practical implications of the methodological aspects are also relevant. Original sound manuscripts on either well-established or emerging areas in the scope of the journal are welcome. One volume is published annually in four issues. In addition to the regular contributions, each issue of TEST contains an invited paper from a world-wide recognized outstanding statistician on an up-to-date challenging topic, including discussions.
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