The Journal of Statistical Planning and Inference offers itself as a multifaceted and all-inclusive bridge between classical aspects of statistics and probability, and the emerging interdisciplinary aspects that have a potential of revolutionizing the subject. While we maintain our traditional strength in statistical inference, design, classical probability, and large sample methods, we also have a far more inclusive and broadened scope to keep up with the new problems that confront us as statisticians, mathematicians, and scientists.We publish high quality articles in all branches of statistics, probability, discrete mathematics, machine learning, and bioinformatics. We also especially welcome well written and up to date review articles on fundamental themes of statistics, probability, machine learning, and general biostatistics. Thoughtful letters to the editors, interesting problems in need of a solution, and short notes carrying an element of elegance or beauty are equally welcome.

《統(tǒng)計規(guī)劃與推斷》雜志提供了自己作為一個多面和包羅萬象的橋梁，連接統(tǒng)計和概率的經(jīng)典方面，以及新興的跨學科方面，這些方面有可能使這一學科發(fā)生革命性的變化。在保持我們在統(tǒng)計推理、設計、經(jīng)典概率和大樣本方法方面的傳統(tǒng)優(yōu)勢的同時，我們還擁有更廣泛的包容性和更廣泛的范圍，以跟上我們作為統(tǒng)計學家、數(shù)學家和科學家所面臨的新問題。我們在統(tǒng)計、概率、離散數(shù)學、機器學習和生物信息學的所有分支中發(fā)表高質量的文章。我們也特別歡迎關于統(tǒng)計學、概率論、機器學習和一般生物統(tǒng)計學基本主題的好文章和最新的評論文章。同樣歡迎給編輯們寫一些深思熟慮的信件，需要解決的有趣問題，以及帶有優(yōu)雅或美麗元素的簡短筆記。