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Steven J. Miller

Bio: Steven J. Miller is an academic researcher from Williams College. The author has contributed to research in topics: Random matrix & Fibonacci number. The author has an hindex of 41, co-authored 380 publications receiving 5384 citations. Previous affiliations of Steven J. Miller include Carnegie Mellon University & Brown University.


Papers
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Book
26 Mar 2006
TL;DR: This website is an invitation to modern number theory that will be your best choice for better reading book and you can take the book as a source to make better concept.
Abstract: Give us 5 minutes and we will show you the best book to read today. This is it, the an invitation to modern number theory that will be your best choice for better reading book. Your five times will not spend wasted by reading this website. You can take the book as a source to make better concept. Referring the books that can be situated with your needs is sometime difficult. But here, this is so easy. You can find the best thing of book that you can read.

175 citations

Journal ArticleDOI
01 Mar 1994-Gut
TL;DR: The high gastric juice:plasma ascorbic acid ratio in H pylori negative subjects shows active secretion of ascorBic acid into gastric Juice.
Abstract: The presence of ascorbic acid in gastric juice may protect against gastric carcinoma and peptic ulceration. This study examined the effect of Helicobacter pylori (H pylori) on the secretion of ascorbic acid into gastric juice by measuring fasting plasma and gastric juice ascorbic acid concentrations in patients with and without the infection and also before and after its eradication. Gastric juice ascorbic acid concentrations in 19 H pylori positive patients were significantly lower (median 2.8, range 0-28.8 micrograms/ml) than those in 10 H pylori negative controls (median 17.8, range 5.6-155.4 micrograms/ml) (p

161 citations

Journal ArticleDOI
TL;DR: In this paper, the 1 and 2-level densities of one-parameter rational families of elliptic curves over Q(t) were used to study the distribution of low lying zeros.
Abstract: Following Katz-Sarnak [KS1], [KS2], Iwaniec-Luo-Sarnak [ILS], and Rubinstein [Ru], we use the 1and 2-level densities to study the distribution of low lying zeros for oneparameter rational families of elliptic curves over Q(t). Modulo standard conjectures, for small support the densities agree with Katz and Sarnak’s predictions. Further, the densities confirm that the curves’ L-functions behave in a manner consistent with having r zeros at the critical point, as predicted by the Birch and Swinnerton-Dyer conjecture. By studying the 2-level densities of some constant sign families, we find the first examples of families of elliptic curves where we can distinguish SO(even) from SO(odd) symmetry.

151 citations

Journal ArticleDOI
TL;DR: C-reactive protein concentration can be used to identify heart-transplant patients at increased risk of coronary artery disease and graft failure and treatments directed at reduction of C-re active protein concentration could improve patients' outcome.

112 citations

Journal ArticleDOI
TL;DR: Gender-specific interventions of sufficient intensity can promote short- and long-term sexual risk reduction among women in a family planning setting.
Abstract: This study assessed the short- and long-term effect of a gender-specific group intervention for women on unsafe sexual encounters and strategies for protection against HIV/STD infection. Family planning clients (N = 360) from a high HIV seroprevalence area in New York City were randomized to an eight-session, a four-session or a control condition and followed at one, six and 12 months post-intervention. Using an intention-to-treat analysis, women who were assigned to the eight-session group had about twice the odds of reporting decreased or no unprotected vaginal and anal intercourse compared to controls at one month (OR = 1.93, 95% confidence interval [CI] = 1.07, 3.48, p = 0.03) and at 12-month follow-up (OR = 1.65, 95% CI = 0.94, 2.90, p = 0.08). Relative to controls, women assigned to the eight-session condition reported during the previous month approximately three-and-a-half (p = 0.09) and five (p < 0.01) fewer unprotected sex occasions at one- and 12-month follow-up, respectively. Women in the eigh...

112 citations


Cited by
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Proceedings ArticleDOI
22 Jan 2006
TL;DR: Some of the major results in random graphs and some of the more challenging open problems are reviewed, including those related to the WWW.
Abstract: We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

7,116 citations

Book ChapterDOI
01 Jan 1998

1,532 citations

Journal ArticleDOI
TL;DR: This handbook is a very useful handbook for engineers, especially those working in signal processing, and provides real data bootstrap applications to illustrate the theory covered in the earlier chapters.
Abstract: tions. Bootstrap has found many applications in engineering field, including artificial neural networks, biomedical engineering, environmental engineering, image processing, and radar and sonar signal processing. Basic concepts of the bootstrap are summarized in each section as a step-by-step algorithm for ease of implementation. Most of the applications are taken from the signal processing literature. The principles of the bootstrap are introduced in Chapter 2. Both the nonparametric and parametric bootstrap procedures are explained. Babu and Singh (1984) have demonstrated that in general, these two procedures behave similarly for pivotal (Studentized) statistics. The fact that the bootstrap is not the solution for all of the problems has been known to statistics community for a long time; however, this fact is rarely touched on in the manuscripts meant for practitioners. It was first observed by Babu (1984) that the bootstrap does not work in the infinite variance case. Bootstrap Techniques for Signal Processing explains the limitations of bootstrap method with an example. I especially liked the presentation style. The basic results are stated without proofs; however, the application of each result is presented as a simple step-by-step process, easy for nonstatisticians to follow. The bootstrap procedures, such as moving block bootstrap for dependent data, along with applications to autoregressive models and for estimation of power spectral density, are also presented in Chapter 2. Signal detection in the presence of noise is generally formulated as a testing of hypothesis problem. Chapter 3 introduces principles of bootstrap hypothesis testing. The topics are introduced with interesting real life examples. Flow charts, typical in engineering literature, are used to aid explanations of the bootstrap hypothesis testing procedures. The bootstrap leads to second-order correction due to pivoting; this improvement in the results due to pivoting is also explained. In the second part of Chapter 3, signal processing is treated as a regression problem. The performance of the bootstrap for matched filters as well as constant false-alarm rate matched filters is also illustrated. Chapters 2 and 3 focus on estimation problems. Chapter 4 introduces bootstrap methods used in model selection. Due to the inherent structure of the subject matter, this chapter may be difficult for nonstatisticians to follow. Chapter 5 is the most impressive chapter in the book, especially from the standpoint of statisticians. It provides real data bootstrap applications to illustrate the theory covered in the earlier chapters. These include applications to optimal sensor placement for knock detection and land-mine detection. The authors also provide a MATLAB toolbox comprising frequently used routines. Overall, this is a very useful handbook for engineers, especially those working in signal processing.

1,292 citations

Book
21 Dec 2009
TL;DR: The theory of random matrices plays an important role in many areas of pure mathematics and employs a variety of sophisticated mathematical tools (analytical, probabilistic and combinatorial) as mentioned in this paper.
Abstract: The theory of random matrices plays an important role in many areas of pure mathematics and employs a variety of sophisticated mathematical tools (analytical, probabilistic and combinatorial). This diverse array of tools, while attesting to the vitality of the field, presents several formidable obstacles to the newcomer, and even the expert probabilist. This rigorous introduction to the basic theory is sufficiently self-contained to be accessible to graduate students in mathematics or related sciences, who have mastered probability theory at the graduate level, but have not necessarily been exposed to advanced notions of functional analysis, algebra or geometry. Useful background material is collected in the appendices and exercises are also included throughout to test the reader's understanding. Enumerative techniques, stochastic analysis, large deviations, concentration inequalities, disintegration and Lie algebras all are introduced in the text, which will enable readers to approach the research literature with confidence.

1,289 citations

Journal ArticleDOI
TL;DR: Patients starting HAART in resource-poor settings have increased mortality rates in the first months on therapy, compared with those in developed countries, and timely diagnosis and assessment of treatment eligibility, coupled with free provision of HAART might reduce this excess mortality.

1,143 citations