avatar
w*e
1
不知发在这合适否?
先谢谢大家了
情况是这样的,国内专科毕业后自考本科,有毕业证,无学位证,之后,国内一名校硕
士毕业,有多年工作经验,现在人在美国,已考GMAT和TOEFL,请问现在本科
的成绩单该怎么处理呢?看到说北美学校本科要有120个学分或更多,那自考本科的
成绩单上只有十几门课,学份不够是肯定的,google了一下前辈们的经验,有的说去开
个证明之类的,说是自考类的,有的朋友说把专科成绩单也开在一起,个人觉得还是把
专科和本科成绩单开在一张纸上,因为是不同专业,准备做成上下两个表格,中间空一
格,分别注明不同专业,(专本是在同一个学校),
想请问有经验的前辈们,这样做是否可行,还是只开本科成绩单再开个证明比较可行?
如果要开证明,要怎么开呢?另外,大家是怎么解释这种读了专,再自考本的情况?
最后,如果只申请硕士,可以把国内硕士成绩单和学位证,和读研时所发文章,参与编
写的书等算研究成果一并放在申请材料中,用来弥补本科GPA低的不足吗?自考的份
普遍比较低,都在70-85之间,平均一下估计也只有80,有啥好办法提高一下G
PA?(比如有啥证明可开的?)
问题比较长哈,请大家见谅
avatar
k*o
2
如果配偶还是学生,但是会很快毕业了,是不是毕业后不能用OPT工作了?只能等EAD下
来后再工作?如果等自己拿到绿卡给配偶办,一般多长时间能办下来?
avatar
r*z
3
不知道哪里来的习惯会说什么事情due on 3/9...
应该说due 3/9,对吗?
avatar
n*d
4
Tulane-Master of Finance在休斯顿开了个campus。有MBA, Master of finance
是part time 的,周末上课
我原本读文科,在学校工作。
请问读这样一个program,有前途吗,半路出家容易找工作吗
avatar
m*d
5
Ph.D. Positions at Computer Science & Engineering Department, University of
Connecticut, Storrs, CT
Research Focus: the application of Mathematical Programming, Machine
Learning or Data Mining approaches in emerging Health/Medical Informatics,
Drug Discovery, Bioinformatics and Medical Image Analysis
Applications are invited for 2-3 PhD scholarships in Health/Medical
Informatics group for the incoming Spring of 2011 or regular Fall Semester
recruiting in 2011. While completing the Ph.D. degree requirement in CS and
Engineering department, motivated students are also expected to develop a
strong publication record, present research works at conferences to catch up
to emerging frontier in medical informatics, as well as actively interact
with industrial collaborators and physician in hospital.
The successful applicant will join a team of researchers working on design
or development of mathematical models, algorithms, data analytics for
extracting knowledge from large quantities of data or for intelligent
representations of medical knowledge. Effective real-world informatics
tools and software are expected for the research projects to have direct
impact on medical practices or the care of patients. Exemplar research
projects are given below in related areas and may evolve according to
interests and progress: (1) mathematical modeling and over-time prediction
for longitudinal studies where repeated measurements are collected at
multiple time points; (2) efficient algorithms for genotype-phenotype
association for clinically defined complex phenotypes; (3) medical image
analysis such as functional MRI brain images for detection and diagnosis of
mental diseases. These projects contribute to the general interests of our
group, which includes a variety of educational plans in computer science and
health/medical informatics areas.
Requirements:
Applicants must have - or be close to receiving - a B.Sc. or equivalent
in Mathematics or Computer Science. Applicants possessing a M.S. degree in
Mathematics and/or Computer Science are highly encouraged.
Some experience with mathematics programming, machine learning and
statistical data mining is required and familiarity with programming
languages or database maintenance will be an asset.
Application:
Students who are interested in this program can contact Professor Bi
through E-mail (j***[email protected]) regarding scientific respects of these
positions and/or follow regular application process required by the
graduate school in University of Connecticut.
avatar
l*t
6
when using expected utility to select optimal portfolio choice, how do I
determine the function form & risk aversion / temporal discount to fit the
representative investor? reference articles are highly appreciated.
many thanks.
avatar
c*t
8
硕士的成绩单和研究成果应该有帮助
avatar
f*u
9
现在EAD平均45天批。不明白你要实现个什么想法。现在申请opt的ead还要3个月,有那
时间EAD早批了。
avatar
o*l
10
hmmm, i usually add the "on" as well.

【在 r*z 的大作中提到】
: 不知道哪里来的习惯会说什么事情due on 3/9...
: 应该说due 3/9,对吗?

avatar
x*7
11
co-ask,
in addition,
tulane master of finance VS University of Houston, master of finance ?
avatar
s*w
12
I don't quite understand your question.
Do you mean under CAPM? or do you want to do experiment? or do you have othe
r specific settings?

【在 l**********t 的大作中提到】
: when using expected utility to select optimal portfolio choice, how do I
: determine the function form & risk aversion / temporal discount to fit the
: representative investor? reference articles are highly appreciated.
: many thanks.

avatar
s*t
13
"如果等自己拿到绿卡给配偶办,一般多长时间能办下来?"
为啥等? 一起交了。
用EAD工作。

【在 k*****o 的大作中提到】
: 如果配偶还是学生,但是会很快毕业了,是不是毕业后不能用OPT工作了?只能等EAD下
: 来后再工作?如果等自己拿到绿卡给配偶办,一般多长时间能办下来?

avatar
g*n
14
也可以说due by。。。

【在 o********l 的大作中提到】
: hmmm, i usually add the "on" as well.
avatar
j*c
15
co-ask,
is it easy to find a job with master of finance?any other good programs
other than Princeton and UIUC?
avatar
l*t
16
thanks for considering the question.
in portfolio choice within the maxmizing expected utility framework, what
are the empirical evidences to justify the use of CRRA (or HARA , or any
other form) utility func, and how are the parameters in these functions
calibrated?
avatar
k*o
17
之所以问是担心有人说EAD到手后485也有可能不批,这样就没有身份了
avatar
o*l
18
yep

【在 g*****n 的大作中提到】
: 也可以说due by。。。
avatar
d*y
19
不好找
avatar
c*e
20
utility function 设定,应该看你的问题吧。。从那个最简单的CRRA 试起吧。parame
ters 比如r和beta,,应该是从data calibrate出来的。如果你说到的max和bellman有
关,,大概需要用numerical的办法解了。
乱说一点,最近了解就这么多。。

【在 l**********t 的大作中提到】
: thanks for considering the question.
: in portfolio choice within the maxmizing expected utility framework, what
: are the empirical evidences to justify the use of CRRA (or HARA , or any
: other form) utility func, and how are the parameters in these functions
: calibrated?

avatar
f*u
21
485一交就是AOS,这就是身份了。拿了EAD就可以工作了。退一万步讲,485悲剧了,那
你还能呆多久呢?混了mitbbs这么长时间,还没见过悲剧的,交两份的除外。
avatar
Y*s
22
on is superfluous... Perfectly fine just say something is due 3/9.

【在 r*z 的大作中提到】
: 不知道哪里来的习惯会说什么事情due on 3/9...
: 应该说due 3/9,对吗?

avatar
r*s
24
如果只是portfolio choice model,那utility preference选择完全取决于模型本身。
calibrate只是calibrate return dynamics
1。如果fully numerical做DP,那复杂的都能做,比如recursive preference, risk-
sensitive preference等等。
2。如果能解出closed-form analytical solution,utility不能任意复杂,一般CRRA
和部分扩展(比如habit formation, recursive preference)可以做到,而且同时
return dynamics也有限制。
3。如果是那种explicit characterization,但是需要numerical simulation的(比如
continuous-time Malliavin derivative),相对2来讲对于return dynamics限制较少
,但utility也不能复杂,比如recursive preference就不行,HARA就可以。
具体par
avatar
k*o
25
en, 我的不可以,是想配偶至少还可以学生身份,工作后可以自己办H1,然后再给我办

【在 f*********u 的大作中提到】
: 485一交就是AOS,这就是身份了。拿了EAD就可以工作了。退一万步讲,485悲剧了,那
: 你还能呆多久呢?混了mitbbs这么长时间,还没见过悲剧的,交两份的除外。

avatar
l*i
26
americans bastardised english ... including dropping prepositions...

【在 Y**s 的大作中提到】
: on is superfluous... Perfectly fine just say something is due 3/9.
avatar
y*m
27
请问在houston地区MSF毕业,能做什么样的工作? 谢谢!!
avatar
l*t
28
thanks for the information. my problem falls into case 1.
"具体parameter value一般都是随便选的,比如CRRA,有把gamma定成4的,5,6,10都
有。" -- that's the impression I got from the literature: utility functions
(CRRA, etc) are chosen for convenience of having a closed formula and risk
index is chosen somewhat arbitrary. Any papers on fitting the risk index on
empirical data or how to measure the actual risk aversion of an investor?
Many thanks.
1。如果fully numerical做DP,那复杂的都能做,比如recursive preference, risk-
sensitive prefe
avatar
N*g
29
哥们, 你胆儿太小了, 比我还小。
没有什么是万无一失的, 还有拿到绿卡的被Revoke了, 那怎么办?

【在 k*****o 的大作中提到】
: 之所以问是担心有人说EAD到手后485也有可能不批,这样就没有身份了
avatar
Y*s
30
I used to think so as well, but then again, language, like all things,
evolve...

【在 l***i 的大作中提到】
: americans bastardised english ... including dropping prepositions...
avatar
s*w
31
专门的paper我不知道,不过scott schaefer和paul oyer 2005的两篇讲ESO的
reservati
on function的paper里面好像就用过类似的calibration,你可以搜搜看。
good luck!

functions
on
CRRA

【在 l**********t 的大作中提到】
: thanks for the information. my problem falls into case 1.
: "具体parameter value一般都是随便选的,比如CRRA,有把gamma定成4的,5,6,10都
: 有。" -- that's the impression I got from the literature: utility functions
: (CRRA, etc) are chosen for convenience of having a closed formula and risk
: index is chosen somewhat arbitrary. Any papers on fitting the risk index on
: empirical data or how to measure the actual risk aversion of an investor?
: Many thanks.
: 1。如果fully numerical做DP,那复杂的都能做,比如recursive preference, risk-
: sensitive prefe

avatar
s*t
32
485被剧的是和140一起交的,是由于140悲剧。没听说单独485悲剧的。

【在 k*****o 的大作中提到】
: 之所以问是担心有人说EAD到手后485也有可能不批,这样就没有身份了
avatar
a*n
33
你想干啥用?
这些都是唬人的。
哪有啥人是CRRA的

functions
on
CRRA

【在 l**********t 的大作中提到】
: thanks for the information. my problem falls into case 1.
: "具体parameter value一般都是随便选的,比如CRRA,有把gamma定成4的,5,6,10都
: 有。" -- that's the impression I got from the literature: utility functions
: (CRRA, etc) are chosen for convenience of having a closed formula and risk
: index is chosen somewhat arbitrary. Any papers on fitting the risk index on
: empirical data or how to measure the actual risk aversion of an investor?
: Many thanks.
: 1。如果fully numerical做DP,那复杂的都能做,比如recursive preference, risk-
: sensitive prefe

avatar
J*b
34
我和楼主有同样的想法,不想Take Any Risk。谁都不知道哪天会有霉运。
例如我就是先申请的OPT EAD, 花了1.5个月,然后才485。如果你LP马上有工作,可以
写封信说明有公司的Offer letter,要求PP,不花钱,有可能2~3星期 OPT EAD也能批
。我知道有人这么做过。
另外我研究过,如果你希望等你批了以后,再把LP加进来,也可以。那个叫Follow to
join。也不麻烦。
avatar
B*e
35
Utility is somewhat arbitrarily chosen. It totally depends on the issue you
want to address as well as your taste. You can either choose CRRA, E-Z or
Habit formation. Risk aversion is usually a free parameter. However, there
are experimental studies which try to measure the risk aversion parameter of
individuals and the free risk aversion parameters are usually set to not
violate those experimental measures too much.

functions
on
CRRA

【在 l**********t 的大作中提到】
: thanks for the information. my problem falls into case 1.
: "具体parameter value一般都是随便选的,比如CRRA,有把gamma定成4的,5,6,10都
: 有。" -- that's the impression I got from the literature: utility functions
: (CRRA, etc) are chosen for convenience of having a closed formula and risk
: index is chosen somewhat arbitrary. Any papers on fitting the risk index on
: empirical data or how to measure the actual risk aversion of an investor?
: Many thanks.
: 1。如果fully numerical做DP,那复杂的都能做,比如recursive preference, risk-
: sensitive prefe

avatar
s*w
36
好像CRRA作calibration比较容易。
我想modeling的考虑重点不是是否符合实际,而是怎样做才能简单一点吧。

【在 a**n 的大作中提到】
: 你想干啥用?
: 这些都是唬人的。
: 哪有啥人是CRRA的
:
: functions
: on
: CRRA

avatar
l*t
37
thanks. will look into that.

reservati

【在 s*****w 的大作中提到】
: 专门的paper我不知道,不过scott schaefer和paul oyer 2005的两篇讲ESO的
: reservati
: on function的paper里面好像就用过类似的calibration,你可以搜搜看。
: good luck!
:
: functions
: on
: CRRA

avatar
l*t
38
"However, there are experimental studies which try to measure the risk
aversion parameter" --- references?
Also, is it realistic to assume the risk aversion parameter constant? Shall it vary with wealth level or other demographic parameters?

you
of

【在 B******e 的大作中提到】
: Utility is somewhat arbitrarily chosen. It totally depends on the issue you
: want to address as well as your taste. You can either choose CRRA, E-Z or
: Habit formation. Risk aversion is usually a free parameter. However, there
: are experimental studies which try to measure the risk aversion parameter of
: individuals and the free risk aversion parameters are usually set to not
: violate those experimental measures too much.
:
: functions
: on
: CRRA

avatar
l*t
39
I try to define a objective func for my optimization. It is 唬人的 but CRRA
is a bit unrealistic (IMHO) so it may not work well when it comes to 唬人.
Plus I need some backing on the risk aversion parameters, measured from
survey or empirical data.

【在 a**n 的大作中提到】
: 你想干啥用?
: 这些都是唬人的。
: 哪有啥人是CRRA的
:
: functions
: on
: CRRA

avatar
a*n
40

我的意思是这些东西都是为了说好一个故事而又不过分陷入
繁杂的细节做出的必要简化。如何简化以及什么样的简化
可以接受完全取决于你想说什么样的故事。

就好像讲故事的时候说:“从前有座山”,而不会说啥时间
在啥位置有座什么样的山,山上有啥东西,有啥动物植物
但是你真要去找石油,人家跟你说“从前有座山,山上有石油”
就是唬人了。。

【在 s*****w 的大作中提到】
: 好像CRRA作calibration比较容易。
: 我想modeling的考虑重点不是是否符合实际,而是怎样做才能简单一点吧。

avatar
a*n
41
关键你想解决啥问题啊
实验测出来的risk aversion也没啥太大意义
我看人连expect utility maximizer都不是
而且对风险的态度也是随时间 随财富 随情况
变化的

CRRA
.

【在 l**********t 的大作中提到】
: I try to define a objective func for my optimization. It is 唬人的 but CRRA
: is a bit unrealistic (IMHO) so it may not work well when it comes to 唬人.
: Plus I need some backing on the risk aversion parameters, measured from
: survey or empirical data.

avatar
l*t
42
avatar
l*t
43
avatar
c*e
44
理论上,那个effective risk aversion 你可以通过模型设定(推算)出和某某因素相
关的。这样的话,就和你的utility function设定有关了。。那个recursive的utility
好像可以吧。。
但是,这样,解出optimal portfolio大概会比较难。。
我觉得那个r虽然经常是被设定不变的,,但是往往是通过引入shocks来影响optimal p
ortfolio。或许可以参见heterogeneity portfolio choice的paper。。

Any
across

【在 l**********t 的大作中提到】

avatar
l*t
45
thanks for the suggestion.

utility
p

【在 c****e 的大作中提到】
: 理论上,那个effective risk aversion 你可以通过模型设定(推算)出和某某因素相
: 关的。这样的话,就和你的utility function设定有关了。。那个recursive的utility
: 好像可以吧。。
: 但是,这样,解出optimal portfolio大概会比较难。。
: 我觉得那个r虽然经常是被设定不变的,,但是往往是通过引入shocks来影响optimal p
: ortfolio。或许可以参见heterogeneity portfolio choice的paper。。
:
: Any
: across

avatar
c*e
46
不会,,刚好在做类似的问题,,很高兴讨论。。

【在 l**********t 的大作中提到】
: thanks for the suggestion.
:
: utility
: p

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