JOURNAL OF STATISTICAL PLANNING AND INFERENCE

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.

《统计规划与推断》杂志提供了自己作为一个多面和包罗万象的桥梁，连接统计和概率的经典方面，以及新兴的跨学科方面，这些方面有可能使这一学科发生革命性的变化。在保持我们在统计推理、设计、经典概率和大样本方法方面的传统优势的同时，我们还拥有更广泛的包容性和更广泛的范围，以跟上我们作为统计学家、数学家和科学家所面临的新问题。我们在统计、概率、离散数学、机器学习和生物信息学的所有分支中发表高质量的文章。我们也特别欢迎关于统计学、概率论、机器学习和一般生物统计学基本主题的好文章和最新的评论文章。同样欢迎给编辑们写一些深思熟虑的信件，需要解决的有趣问题，以及带有优雅或美丽元素的简短笔记。