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1. We have to detect whether or not
H
is 1.
2. BV/KT: (FS) T-
H
-A-N-K Y-O-U
3. maybe an
h
and L try L know
4. positively charged particles here were
H
plus.
5. KT: how sign T-
H
-A-N-K-S?
6. diagonal moves makes this a lot easier-- to invert g and
h
7. It's a random variable under the hypothesis
H
equals 1.
8. And it's Sara without an
h
.
9. Now it's before
h
and e.
10. too fast so i went 40 km/
h
and I engaged
11.
h
is correct, yeah.
12. decreasing the speed will only fly at around 100km/
h
, we can
13. just with that
h
hat.
14. I've been so freaked out it feels like
H
ten years this week
15. So minus u_(i+1) minus 2u_i, minus u_(i-1) over
h
squared
16. asking you to estimate partial
h
over partial y.
17. And given
H
equals 1, it's another random walk.
18. And in fact, the
h
terms, the leading error,
19. If you can read this for any
h
, then that's
20. How was this delta
H
performing historically?
21. So that's examples of
H
-deletion.
22. philosophy developed by C.
H
. Douglas, a British engineer, who wrote a book by that name in
23. should be equal to
h
over mass times volume.
24. But he knew that this plasma takes the
H
two molecule
25. the probability that
H
is 1 equals y is
26. distribution... or the proportions are equal if that is what you are looking at.
H
sub
27. but they do not come into play until you can say that you have evidence for
H
sub a...
28. Instead of saying "It has happened before", you'll hear me say "it_(
h
)as" or just "it's".
29. So, the Cockney speaker tends to miss off the "
h
". Okay, so okay that's just a few examples
30. We've got a, b, c, f, d, g, e,
h
.
31. A, b, c, d, e, f,
h
g-- no, no, no, that's where you started,
32. But in this case "it_(
h
)as".
33. That first-order approximation, that error of size
h
34. about
H
. We have to choose
H
equals 0 or
H
equals 1.
35. It's the probability that Y is in A. That means that
H
hat is
36. So as an example of a column move, a, b, c, d, f,
h
, e,
37. VEGETA:
H
-how... How is he this strong?
38. I say “Did_(
h
)e call you?”
39. We have the
H
-deletion, which is where the
H
at the beginning of words is removed and
40. g used to be after
h
and e.
41. cohort sequential design with
h
and the time variable and you see here this is online sexual
42. This is just
H
of q right here, this term.
43. So that means we would see "My lovely
h
", no match.
44. Now, let's find partial
h
over partial y less than zero.
45.
h
is 1/6.
46. the consonant or the sound that the word before the word with
H
ends with carries on over
47. the ODE. And, y1 of x, notice I don't use a separate letter. I don't use g or
h
or something
48. now the step is -
h
, but then when I square that step
49. ‘Ah-
h
!’ she cried out. ‘Ah-
h
! Are you dead?’
50.
H
equals 1.
51. And one more aspect of Cockney is the letter "
h
"...
52. probability given that
H
equals 1 is the correct
53. This delta x squared is the
h
squared.
54. A function g of x is tilde, a function
h
of x
55. - S what? - S-
H
-E-O-L: sheol.
56. then given
H
equals 0, it's a random walk.
57. But otherwise, probability that
H
equals l is the correct
58. So g and
h
are in order.
59. then what he must be left with is
h
-plus, and since hydrogen
60. (u_1-u_0)/
h
-- that's the approximate slope --
61. is of order
h
.
62. “I took_(
h
)er some food.”
63. It says the evening and the morning were the first day. Notice that word "the," t-
h
-e.
64. b, c, d, e, f,
h
, g-- which are out of order--
65. OK? And so delta
h
over delta y is
66. Because this is the probability that
H
is actually
67. I want to do T-
H
-I-N--
68. Oh and divide by
h
squared.
69. "My lovely
h
", no match.
70. This one is also order
h
.
71. The probability of error conditional on
H
equals 0 is
72. Dr. Alvin
H
. Howell was the brains behind the balloon program?
73. “We_(
h
)ave a lot to do today”.
74. A, b, c, f, e, d, g,
h
-- g,
h
is good.
75. he put forth where we have
h
hat psi being equal to e psi.
76. u(x+
h
) - u(x), just how much did that step go.
77. of the motif is 2w minus
H
of motif,
78. There is no sequence of legal moves to invert g and
h
.
79. which is going to multiply the
h
,
80. I've removed the
H
on him and it just sounds like took_(
h
)im took_(
h
)im.
81. it would be -
h
^3 / 6 u'''.
82. r ke
h
as in ray not just some cute production designer joke though the
83. So
H
hat is 0 does not mean that
H
itself is 0.
84. So some examples of
H
deletion.
85. quantity here is P of Y. So we have probability that
H
equals
86. As David
H
. Koch Institute professor at MIT,
87. means that the limit as x goes to infinity of g over
h
is 1.
88. looks like the expectation of
h
of x for all
h
.
89. Oh, that's better. All the evil Sarah's spell it with an
h
. Thanks again.
90. that momentum is equal to
h
divided by lambda.
91. "I took_(
h
)im for_a ride", "You took_(
h
)im for_a ride", etc.
92. going to move b down this time-- a, c, d, b, g,
h
, e, f.
93. A, b, c, f, e, d, g,
h
-- g,
h
is good.
94. This is the equation T times u divided by
h
squared
95. Here, we have an OH and an
H
. Here, we have an
H
and an OH.
96. And I may come back and find out why that
h
squared term is.
97. 1/2
h
, first order.
98. So again, we know that energy is equal to
h
c divided by
99. I'm back to +
h
^2 u''(x) and so on.
100. Yes, there'd be no reason to say you could say educate this and absolutely does that mean
H
cated? I believe it was a
101. in most cases, binary random variable,
H
, which is called
102. equal to 1 given that
H
is actually 0.
103. So this thing divided by
h
squared
104. I subtract u(x) - U(x-
h
) and I get two -u(x)'s This is what I
105. So g and
h
are in order.
106. We've got a, b, c, f, d, g, e,
h
.
107. key targets is exactly to support about 500 km/
h
. Tell me about the vehicle
108. Oh and divide by
h
squared.
109. g,
h
changes order.
110. by our UV lamp by saying e is equal to
h
c over wavelength.
111. Now I want partial
h
over partial x to be zero.
112. Michael: Where the
h
?ell am I? My game isn't loading.
113. We don't know whether
H
equals 0 or
H
equals 1 is what the
114. is-- What's one over
h
squared, just to not forget?
115. Bill: (
H
-Hey, Georgie.)
116. Now, what about this u(x-
h
)?
117. What I want to point out also is that this
h
hat, the
118. BV: hey, hey how you sign (fingerspells)T-
H
-A-N-K-S, (FS) T-
H
-A-N-K-S
119. Ann Harrison is William
H
Wister Professor
120. KT: how sign T-
H
-A-N-K Y-O-U
121. So as an example of a column move, a, b, c, d, f,
h
, e,
122. So for example, took_(
h
)im, took_(
h
)im.
123. "Harry" would be pronounced "Arry", and "have" where you make the "
h
" sound "hu", "ave".
124. we do set up
H
sub o assuming there is no association. That kind of language is going
125. So that's T divided by
h
squared.
126. have a, b, c, d, g, e, f,
h
.
127. “It_(
h
)as happened before”.
128. 2200, partial
h
over partial x equals
129. with an error of order
h
^2.
130. How do you figure u(x+
h
)?
131. mister william bradford huey and mister james
h
are cromwell our distinguished
132. about-- because this is always-- it's either
H
equals
133.
h
or delta x goes to zero in the end to get the derivative.
134. - S-
H
-E-O...I'm not sure on that. No.
135. then so once we get here, we're going to finis,
h
and let's turn this project
136. divide this by 2h, that'll make it an
h
squared over six.
137. a, b, c, d, g,
h
, e, f goes to-- I'm
138. "It_(
h
)as happened before".
139. So the ratio, the probability that
H
equals 0 given y over
140. But in this model,
H
is either 0 or 1 in the result of this
141. "That's for_(
h
)im".
142. we will have
H
sub o set up as beta is equal to zero... The population parameter for slope.
143. to the playground where I grew up and he'd hire some
h
kids to go shag balls for him
144. And we need to know that because the word "Tiamat" is associated with the word "Tehom," T, E,
H
, O, M.
145. maximum over l of probability that
H
equals l given Y.
146. And
h
with the carrot or the hat here, well, that carrot or
147. So this is the probability that
H
is equal to 0 given Y.
148. So you have the g and
h
out of order.
149. And the answer is the error is of size
h
.
150. we’ll probably drop the
H
. On his, on his, monkey on his back. Or, on her, on her, monkey
151. hypothesis
H
equals 0.
152. KT: T-
H
-A
153. KT: (FS) T-
H
-A-N-K-S
154. And of course, one over
h
squared
155. select
H
equals 0.
156. I heard", so the vowel sound changes: "ear", "er": "hear", "heard", it's spelt "
h
-e-a-r"
157. 0 or
H
equal 1, right?
158. itself is neutral, the
h
-plus and the electron had to add up
159. And then also "We_(
h
)ave a lot to do today".
160. So you could say alright, if
h
is small I can live with that.
161. So instead of "We have a lot to do today", I've said "we_(
h
)ave a lot to do today.
162. I think it comes out wrong by 1/2
h
there.
163. out in your notes what the actual value for
h
c is, but
164. and something that looks like integral of
h
of x p of x dx.
165. The sample values of
H
, you might as well
166. the
H
. Picking up the dead, no mass up on my face.
167. I..."That's a funny one, isn't it? "o-u-g-
h
-t"
168. - S-
H
-E-O-L? I'm not sure. I've never seen that word.
169. Dot-Com no, it's Vince arrow collective Calm. /
h
170. moved up--
h
, e.
171.
H
/
h
, and what's another really common letter t. Sorry but no?
172. It's P0 times the probability I make an error given that
H
173. Did he
H
-E-A-L, heal the blind man or P-L-A-Y,
174. I would say "N?
h
?o".
175. It's P0 times the probability I make an error given that
H
176. We can talk about the probability that
H
is equal to
177. error given
H
equals 1 is on the horizontal axis.
178. so I guess that we really have an
h
^3 / 3 u'''.
179. So
H
of q, where q is a distribution or, in this case,
180. So, if it's uniform, we said
H
of q is 2 bits per position.
181. remember to T-
H
-I-N-K. Remember to think.
182. But in this model,
H
is either 0 or 1 in the result of this
183. And then minus this term, which is
H
of p.
184. “Did_(
h
)e call you?”
185. what is
H
of q?
186. you should be able to go 60 km/
h
however
187. So now that u(x+
h
) - u(x-
h
) is zero,
188. And now, if we condition this on
H
equals 0, then this
189. Plus
h
^3 upon 6, that's 3*2*1, u triple-prime.
190. that
H
equals L given Y. We maximize the a posteriori
191. They have the g and
h
in order.
192. probability given
H
equals 1 versus error probability given
193. He said, okay, this is going to be
H
plus.
194. The number "three", t-
h
-r-e-e is often pronounced
195. BV:T-
H
-A-N-K-S.....think...oh! Thank you
196. KT: (FS) T-
H
-A-N-K-Y-O-U
197. zero and partial
h
over partial y is less than zero.
198. Hey Sara, without an
h
.
199. You divide by the delta x, the
h
,
200. A function g of x is tilde, a function
h
of x
201. And I've put g and
h
out of order.
202. vector y given
H
equals 0, I'm finding the probability of n
203. on her back. Check out this video on Dropping the
H
Reductions.
204. Collective calm /
h
3 if you go to their website right now you get this classy beautiful watch leather wristband
205. And this would be, since this step is -
h
now,
206. arts medical office administration run office naveen
h
RF associate arts ashley
207. One over
h
squared there,
h
is what?
208.
H
equals 0.
209. and I better remember to divide by
h
squared,
210. Instead of saying "That's for him", I say "That's for_(
h
)im".
211. So I always think, T-
H
-I-N-K, T-
H
-I-N-K, remember that.
212. For instance, took_(
h
)er, took_(
h
)er.
213. this for
H
equals 0, divide by this for
H
equals 1, and then
214. given by half of
h
squared, you see the second order
215. Problem 2B is asking you to find the point at which
h
equals
216. the
h
would have been there.
217. And of course, in that experiment, that was
H
plus.
218. Skarsgård:
H
-Hey, stop that! Stop that!
219. So if I bring it up here, bring the
h
squared up here,
220. BV/KT: (FS) T-
H
-A-N-K-S
221. Here we have
H
. Here we have our OH,
H
,
H
.
222. And I may come back and find out why that
h
squared term is.
223. the value of
h
doesn't change. Which points on the level curve
224. We always set up
H
sub o as no association, no difference, no effect from the treatment,
225.
H
-Huh?
226. this is correct to order
h
squared.
more...
